Surfacing augmented reality objects

Information

  • Patent Grant
  • 11977553
  • Patent Number
    11,977,553
  • Date Filed
    Monday, August 1, 2022
    a year ago
  • Date Issued
    Tuesday, May 7, 2024
    17 days ago
  • CPC
  • Field of Search
    • CPC
    • G06F16/24578
    • G06F16/2477
    • G06F16/248
    • G06F16/29
    • G06F16/909
    • G06F16/9035
    • G06F16/444
    • G06T19/006
  • International Classifications
    • G06F16/2457
    • G06F16/2458
    • G06F16/248
    • G06F16/29
    • G06T19/00
    • Disclaimer
      This patent is subject to a terminal disclaimer.
      Term Extension
      10
Abstract
Various embodiments provide for a registry for augmented reality (AR) objects, which can provide AR objects to a client device to support various software or hardware applications. For instance, some embodiments provide for an AR object registry that facilitates or enables registration of one or more AR objects in association with one or more locations across a planet.
Description
TECHNICAL FIELD

Embodiments described herein relate to augmented reality and, more particularly, but not by way of limitation, to systems, methods, devices, and instructions for a registry for augmented reality objects, which can support mixed reality.


BACKGROUND

Presently, geospatial databases can be used to provide three-dimensional (3D) geospatial maps of the world to mobile devices. Typically, a mobile device, such as a smartphone, use a Global Position System (GPS) to canonically associate the mobile device with a coordinate position on Earth, and the coordinate position can be used to query the geospatial database for 3D map data. For instance, given a central point relative to the coordinate position of the mobile device, a geospatial data base can be queried to obtain all data for 3D map objects within a particular radius of the central point, or to obtain the data for the 3D map objects closest to the central point.





BRIEF DESCRIPTION OF THE DRAWINGS

Various ones of the appended drawings merely illustrate some embodiments of the present disclosure and should not be considered as limiting its scope. The drawings are not necessarily drawn to scale. To easily identify the discussion of any particular element or act, the most significant digit or digits in a reference number refer to the figure number in which that element is first introduced, and like numerals may describe similar components in different views.



FIG. 1 is a block diagram showing an example system, for exchanging data (e.g., relating to AR objects) over a network, that can include an augmented reality (AR) object system, according to some embodiments.



FIG. 2 is block diagram illustrating an example logical architecture for an AR object system, according to some embodiments.



FIG. 3 is a block diagram illustrating an example of an AR object interactive session service, according to some embodiments.



FIG. 4 is a flow diagram illustrate an example of session handling by an AR object interactive session service, according to some embodiments.



FIG. 5 is a flow diagram illustrate an example of using one or more rankers for providing a client device with one or more AR objects, according to some embodiments.



FIG. 6 is a block diagram illustrating an example implementation of an AR object system, according to some embodiments.



FIGS. 7 through 13 are flowcharts illustrating methods relating to an AR object registry, according to some embodiments.



FIG. 14 is a block diagram illustrating a representative software architecture, which may be used in conjunction with various hardware architectures herein described.



FIG. 15 is a block diagram illustrating components of a machine, according to some embodiments, able to read instructions from a machine-readable medium (e.g., a machine-readable storage medium) and perform any one or more of the methodologies discussed herein.





DETAILED DESCRIPTION

Various embodiments provide systems, methods, devices, and instructions for a registry for augmented reality objects, which can provide augmented reality objects to a client device to support various software or hardware applications (e.g., mixed reality software applications). For instance, some embodiments provide for an augmented reality (AR) object registry that facilitates or enables registration of one or more AR objects in association with one or more locations across a planet (e.g., on a world scale). For instance, an AR object registry can enable associations between one or more AR objects and one or more locations or physical objects on planet Earth. In doing so, such an AR object registry can permit a user to use their client device to explore AR objects anywhere on Earth. Additionally, an AR object registry described herein can also support or enable, for example, implementation of a spatial-based (e.g., augmented reality-based) world wide web.


The architecture of some embodiments described herein permits scaling to service AR object registration in connection with locations across Earth, and permits scaling to provide or support interactive sessions that enable multiple users (e.g., large numbers of users) across the world to interact together with registered AR objects. For some embodiments, an AR registry of an embodiment can associate (e.g., unite) topology map data (e.g., of Earth) with AR object data such that the real-world information is brought into a virtual model, which enables the scalability of the AR registry. Additionally, some embodiments implement one or more rankers or ranker mechanisms (e.g., ranker algorithm) to determine (e.g., by filtering or sorting) which AR objects are provided to a client device (e.g., in response to a request/query for AR objects from the client device). In this way, such embodiments can affect which AR objects are displayed or surfaced by the client device at and around the client device's current set of coordinates on a map (e.g., geospatial map).


Unlike conventional technologies (e.g., traditional geospatial databases), the AR registry of various embodiments can better support user interaction with registered AR objects. Additionally, unlike conventional technologies, the AR registry of various embodiments does not need to rely on strict (e.g., tight) geofencing to provide AR objects to client devices.


As used herein, an AR object can comprise a virtual object that can be presented in a client device-generated view of a real-world environment (e.g., a view presented on a display of a mobile client device), where the virtual object can interact with or enhance a real-world physical object of the real-world environment presented in the view. For instance, an AR object can be combined with a live (e.g., real-time or near real-time) camera feed such that when the AR object is presented, it appears situated in the live a three-dimensional environment (e.g., AR object appears to occupy a consistent three-dimensional volume and dynamically changing in aspect responsive to movement of the camera in a manner similar to that which would have been the case were the AR object a real-world physical object). A registered AR object can comprise an AR object registered by an embodiment described herein, thereby associating the AR object with a set of coordinates via an AR object registry. The level of interaction (e.g., user interaction) available for an AR object registered by an embodiment can vary. For example, an AR object can be static and have no level of interaction with a user or the real-world environment. A registered AR object (e.g., virtual ball) can have one or more available interactions (e.g., spin, bounce, toss, etc.) where any changes to the state of the AR object (by way of those available interactions) are localized (e.g., confined or limited) to the user at the client device (e.g., state changes to the AR object are not propagated to another user at another client device) and any changes to the state of the AR object do not alter the current initial state of the AR object as stored in the AR object registry. A registered AR object (e.g., virtual graffiti) can have one or more available interactions (e.g., drawing, generating, or applying the virtual graffiti) where any changes to the state of the AR object (by way of those available interactions) are propagated to another user at another client device (e.g., be presented in a view displayed by the other client device) without interaction by the other user (i.e., no interactive session needed). Additionally, a registered AR object can permit two or more users to interact (e.g., in real-time) with the registered AR object (e.g., spin, bounce, or toss the virtual ball) at the same time during an interactive session. For example, a first user can toss a virtual ball between one or more other users within the same interactive session, where data is transmitted between the user's client device through the interactive session. Depending on the registered AR object, at the end of the interactive session, the final state of the registered AR object (as changed by users' interactions during the interactive session) may or may not be saved to the AR object registry, thereby updating the initial state of the AR object for subsequent single-user interactions or multi-user interactive sessions.


For some embodiments, a registration of an AR object or a ranker can be ephemeral (e.g., accessible for only a duration of time after first being accessed). The ephemeral nature of a registration can create a need for a user to re-register an AR object or a ranker periodically (e.g., every 24 hours), which can deter or prevent registration abuses (e.g., spamming).


For some embodiments, user interactions with respect to a given AR object can be defined by a set of rules (e.g., interaction rules) associated with the AR object. For instance, a rule for an AR object can determine an availability of an interaction with respect to the AR object (e.g., can toss or bounce virtual ball), or can define an interaction constraint with respect to the AR object (e.g., interactions with respect to the virtual ball are limited to the client, or the virtual ball can only be tossed so far).


The description that follows includes systems, methods, techniques, instruction sequences, and computing machine program products that embody illustrative embodiments of the disclosure. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide an understanding of various embodiments of the inventive subject matter. It will be evident, however, to those skilled in the art, that embodiments of the inventive subject matter may be practiced without these specific details. In general, well-known instruction instances, protocols, structures, and techniques are not necessarily shown in detail.


Reference will now be made in detail to embodiments of the present disclosure, examples of which are illustrated in the appended drawings. The present disclosure may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein.



FIG. 1 is a block diagram showing an example system 100, for exchanging data (e.g., relating to AR objects) over a network 106, that can include an augmented reality (AR) object system, according to some embodiments. The system 100 includes multiple client devices 102, each of which hosts a number of applications including a client application 104. Each client application 104 is communicatively coupled to other instances of the client application 104 and a server system 108 via a network 106 (e.g., the Internet).


Accordingly, each client application 104 can communicate and exchange data with another client application 104 and with the server system 108 via the network 106. The data exchanged between client applications 104, and between a client application 104 and the server system 108, includes functions (e.g., commands to invoke functions) as well as payload data (e.g., AR object, text, audio, video or other multimedia data).


For some embodiments, a particular client application 104 provides its respective client device 102 with one or more augmented reality/mixed reality features. A particular client application 104 can represent, for example, an augmented reality (AR) client software application, or a messaging software application that includes augmented reality/mixed reality features. A particular client application 104 can obtain one or more AR objects (e.g., from an augmented reality (AR) object system with AR object system 116, hereafter the AR object system 116) to generate a mixed reality environment (e.g., based on the real-world environment of the client device 102) that includes the one or more AR objects. For instance, a particular client application 104 can enable a client device 102, such as a smartphone, to capture image frames of a real-world environment (e.g., using smartphone camera) and generate a view (e.g., on the smartphone display) that presents the real-world environment with (e.g., enhanced by) one or more AR objects that are associated with that real-world environment. In particular, a particular client application 104 can obtain AR objects from an AR registry (e.g., implemented by the AR object system 116) by, for example, requesting or querying for one or more AR objects from the AR object system 116 using information associated with the client device 102, such as information regarding the user of the client device 102, the current set of coordinates (e.g., GPS coordinates) of the client device 102, or a specified radius around the client device 102. When obtaining the one or more AR objects (e.g., the AR object system 116), a particular client application 104 can receive data for those AR objects. The data for those AR objects can include, for example: model data for one or more three-dimensional models (e.g., 3D graphical content) for rendering and displaying the obtained AR objects on a client device 102; rule data describing one or more rules that determine user interactions with the obtained AR objects through a particular client application 104; or state data describing initial states of the obtained AR objects (e.g., initial state in which an obtained AR object will be presented by a particular client application 104 on a client device 102).


With respect to usage of an obtained AR object, a particular client application 104 can display the obtained AR object on the display of a client device 102 by determining a positioning of the AR object on the display relative to the real-world environment. A particular client application 104 can do so by executing a process that generates (or constructs) a virtual camera by combining data from a client devices 102's various sensors, such as an image sensor, inertial measurement unit (IMU), and GPS sensor, and then using the virtual camera to position the obtained AR object on the display of the client device 102. A particular client application 104 can, for example, use a simultaneous localization and mapping (SLAM) or visual odometry (VIO) system or method to generate the virtual camera. When a particular client application 104 displays the AR object, the 3D model of AR object can be rendered and displayed as an overlay over the real-world environment being presented by a client device 102.


For some embodiments, a particular client application 104 enables a user to register one or more AR objects with an AR registry (e.g., implemented by the AR object system 116) in association with a set of coordinates on a map (e.g., geospatial map).


The server system 108 provides server-side functionality via the network 106 to a particular client application 104. While certain functions of the system 100 are described herein as being performed by either a client application 104 or by the server system 108, it will be appreciated that the location of certain functionality either within the client application 104, the server system 108 is a design choice. For example, it may be technically preferable to initially deploy certain technology and functionality within the server system 108, but to later migrate this technology and functionality to the client application 104 where a client device 102 has a sufficient processing capacity.


The server system 108 supports various services and operations that are provided to the client application 104. Such operations include transmitting data to, receiving data from, and processing data generated by the client application 104. This data may include message content, AR object-related information (e.g., model data, orientation, interaction rules or logic, state information, interactive, session information, etc.), client device information, geolocation information, media annotation and overlays, message content persistence conditions, social network information, and live event information as examples. Data exchanges within the system 100 can be invoked and controlled through functions available via user interfaces (UIs) of the client application 104.


Turning now specifically to the server system 108, an Application Program Interface (API) server 110 is coupled to, and provides a programmatic interface to, an application server 112. The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 in which is stored data associated with operations performed by the application server 112.


Dealing specifically with the Application Program Interface (API) server 110, this server receives and transmits message data (e.g., commands and message payloads) between the client device 102 and the application server 112. Specifically, the API server 110 provides a set of interfaces (e.g., routines and protocols) that can be called or queried by the client application 104 in order to invoke functionality of the application server 112. The API server 110 exposes various functions supported by the application server 112, including for example: account registration; login functionality; the sending of AR object-related information (e.g., model data, orientation, interaction rules or logic, state information, interactive, session information, etc.) via the application server 112, from the AR object system 116 to a particular client application 104; the sending of AR object-related information (e.g., query or request information, user input information, state information, model data for a new AR object, etc.) via the application server 112, from a particular client application 104 to the AR object system 116; the sending of messages, via the application server 112, from a particular client application 104 to another client application 104; the sending of media files (e.g., digital images or video) from a client application 104 to the messaging server application 114, and for possible access by another client application 104; the setting of a collection of media content items (e.g., story), the retrieval of a list of friends of a user of a client device 102; the retrieval of such collections; the retrieval of messages and content, the adding and deletion of friends to a social graph; the location of friends within a social graph; and opening an application event (e.g., relating to the client application 104).


The application server 112 hosts a number of applications, systems, and subsystems, including a messaging server application 114, an AR object system 116, and a social network system 122. The messaging server application 114 implements a number of message processing technologies and functions, particularly related to the aggregation and other processing of media content items (e.g., textual and multimedia content items) included in messages received from multiple instances of the client application 104. As will be described herein, media content items from multiple sources may be aggregated into collections of media content items (e.g., stories or galleries), which may be automatically annotated by various embodiments described herein. For example, the collections of media content items can be annotated by associating the collections with captions, geographic locations, categories, events, highlight media content items, and the like. The collections of media content items can be made available for access, by the messaging server application 114, to the client application 104. Other processor- and memory-intensive processing of data may also be performed server-side by the messaging server application 114, in view of the hardware requirements for such processing.


For a given a collection of media content, one or more annotations of the given collection may represent features of the given collection, and those features may include one or more graphical elements (e.g., emojis or emoticons) that various embodiments described herein may be use when automatically associating one or more graphical elements with the given collection. Access to the given collection of media content items may include access to one or more of annotations of the given collection and one or more graphical elements associated with the given collection by various embodiments described herein.


As shown, the application server 112 also includes the AR object system 116, which implements one or more aspects of various embodiments described herein, such as an AR registry and ranker-based AR querying. More regarding the AR object system 116 is described herein with respect to FIG. 2.


The social network system 122 supports various social networking functions and services, and makes these functions and services available to the messaging server application 114 and the AR object system 116. To this end, the social network system 122 maintains and accesses an entity graph within the database 120. Examples of functions and services supported by the social network system 122 include the identification of other users of the system 100 with which a particular user has relationships or is “following”, and also the identification of other entities and interests of a particular user.


The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 in which is stored data associated with operations performed by the messaging server application 114 or the AR object system 116.



FIG. 2 is block diagram illustrating an example logical architecture for the AR object system 116, according to some embodiments. Specifically, the AR object system 116 is shown to comprise data layers 210 and augmented reality (AR) object services 230, which support various features and functionalities of the AR object system 116. As shown, the data layers 210 comprises a three-dimensional (3D) topological data layer 212, a logical topological data layer 214, a user data layer 216, and an augmented reality (AR) object model data layer 218. As also shown, the AR object services 230 comprises an augmented reality (AR) object interactive session service 232, an augmented reality (AR) object query service 234, and an augmented reality (AR) object registry service 236. For various embodiments, the components and arrangement of components of the AR object system 116 may vary from what is illustrated in FIG. 2. Any components of the AR object system 116 can be implemented using one or more processors (e.g., by configuring such one or more computer processors to perform functions described for that component) and hence can include one or more of the processors. Furthermore, according to various embodiments, any of the components illustrated in FIG. 2 can be implemented together or separately within a single machine, database, or device or may be distributed across multiple machines, databases, or devices. For example, the data layers 210 can be implemented by one or more databases (e.g., databases 120), and the AR object services 230 can be implemented by one or more servers (e.g., the application server 112).


The 3D topological data layer 212 comprises data that describes an internal representation of a real-world environment. The data can include, without limitation, 3D modeling information of the real-world environment and information that associates the 3D modeling information with one or more coordinates (e.g., on a topological map). A query to the 3D topological data layer 212 cam comprise one or more coordinates on a map (e.g., topological map) and a radius value around a point corresponding to the one or more coordinates. The query results provided by the 3D topological data layer 212 can comprise one or more 3D model objects that fall within the radius that is centered at the one or more coordinates. Data for the 3D topological data layer 212 can be sourced from one or more data sources, including third party vendors. Additionally, data of the 3D topological data layer 212 can be divided into two or more types, such as lower resolution data (hereafter, referred to as world data) and higher resolution data (hereafter, referred to as deep world data. World data can represent default ground truth data for the AR object system 116 (which can provide a quick foundation for AR object model placement). In comparison to deep world data, world data can have lower accuracy (e.g., approximately 3 m of accuracy), and generally lacks indoor data for real world structures (e.g., buildings, etc.). Deep world data can represent the 3D topological data having the highest accuracy within the AR object system 116 (e.g., centimeter level of accuracy), and can include indoor data for real world structures.


The logical topological data layer 214 comprises data that relates to logic (e.g., business or operational logic) that can be applied to data provided by the 3D topological data layer 212. At least portion of the data provided by the logical topological data layer 214 can be stored in geospatial vector type format. Two types of data provided by the logical topological data layer 214 can include zone data and geolocation data.


According to some embodiments, zone data (of the logical topological data layer 214) marks or identifies one or more areas in a real-world environment, and can further associate one or more attribute values to those one or more areas. For instance, zone data can mark/identify areas of a real-world environment according to one or more of the following: state lines, county lines, city limits, parcel traits, or zoning areas. These marked/identified areas may also be referred to or regarded as zones. Within zone data, an area of a real-world environment can be defined by a non-scalar polygon data type. For some embodiments, zone data facilitates geo-partitioning of a large real-world environment (e.g., the Earth), which can support assignment and management of interactive sessions and session-related computing resources (e.g., session servers) by the AR object interactive session service 232 as described herein.


For some embodiments, zone data marks or identifies one or more permissions for a given area (e.g., as one or more attribute values of the given area). The permissions (embodied as permission data) for a given area can enable the AR object system 116 (e.g., the AR object registry service 236 thereof) to determine, for example, whether a given user can register (e.g., place) an AR object (e.g., new AR object or an existing AR object) of their choosing at location corresponding to a set of coordinates on a map (e.g. topological map). In this way, zone data of some embodiments can associate a particular real-world space with one or more permissions that can deter an abuse of the AR object system 116. For instance, permission data (provided by zone data) can prevent a first user representing a first business (e.g., pizza shop #1) from registering an AR object (e.g., AR object representing a coupon for the first business) at a location corresponding with a second business that is a competitor of the first business (e.g., pizza shop #2). On the other hand, the same permission data can permit a second user that is confirmed to be the owner of the second business to registering an AR object of their choosing at the location corresponding with the second business. In similar manner, one or more permissions provided by zone data can control registration of AR objects with respect to locations corresponding to private residencies.


Additionally, one or more permissions provided by zone data for a given area can enable the AR object system 116 (e.g., the AR object registry service 236 thereof) to determine whether a given user can register (e.g., associate) a ranker with respect to a location corresponding to a set of coordinates on a map (e.g. topological map). As described herein, a ranker can determine which AR objects are provided (e.g., surfaced) to a client device in response to a request or query from the client device for AR objects.


The following Table 1 can represent an example structure of a database table used to store zone data of the logical topological data layer 214.











TABLE 1





Column Name
Data Type
Brief Description







zone_id
Long number,
Unique ID identifying a marked



(serving as a
area of real-world environment.



primary key)



user_id
Long number
ID for user (corresponding to a



(serving as a
user_id in table of User Data



foreign key)
Layer) associated as an owner of




this marked area.


zone_geometry
GeoJSON polygon
Describes the marked area as a




real-world region (e.g.,




a property parcel).


permission_id
Enumeration
Describes one or more permissions




associated with the marked area.









According to some embodiments, geolocation data (of the logical topological data layer 214) comprises data for storing registration of an AR object in association with one or more coordinates corresponding to a location on a map (e.g., topological map), storing registration of a ranker in association one or more coordinates corresponding to a location on a map, or some combination of both. In particular, for some embodiments, the geolocation data can associate data from 3D topological data layer 212 (e.g., such as geospatial data) with model data from the AR object model data layer 218. In this way, the geolocation data can facilitate registration (e.g., placement) of an AR object in association with a set of coordinates corresponding to a location on a map. For some embodiments, the geolocation data associates a center (e.g., centeroid) of an AR object with the set of coordinates. The center of an AR object can correspond to a center of the AR object's 3D bounding box. When the AR object is ultimately displayed by a client device, the AR object's displayed position and orientation can be determined relative to the center of the AR object. Additionally, for various embodiments, the geolocation data facilitates registration of a ranker in association with a set of coordinates corresponding to a location on a map by associate data from 3D topological data layer 212 (e.g., such as geospatial data) with an identifier associated with a ranker.


Depending on the embodiment, the geolocation data can be implemented as a join table of a database. The following Table 2 can represent an example structure of a database table used to store geolocation data of the logical topological data layer 214.











TABLE 2





Column Name
Data Type
Brief Description







position_id
Long number,
Unique ID identifying the



(serving as a
association of position of the AR



primary key)
object with a set of coordinates




correspond to a location on a map




(described by data from 3D




Topological Data Layer).


model_id
Long number
ID for model data of AR object



(serving as a
(corresponding to a model_id in



foreign key)
table of Model Data Layer).


ranker_id
Long number
ID for a ranker associated with



(serving as a
this position.



foreign key)



location_data
(latitude
One or more coordinates that



longitude,
determine where the AR object’s



altitude)
centroid will be positioned.


orientation_data
(yaw, pitch, roll)
Used to determine the rotation of




the AR object relative to its




centroid.


expiry_time
Timestamp
Time at which this registered




association (of position of the AR




object with a set of coordinates




correspond to a location on




a map) will expire, which can




be used to implement an




ephemeral AR object.









The user data layer 216 comprises data associated with a user of the AR object system 116. The data provided by user data layer 216 can include, without limitation, data about which AR objects a given user owns or controls, data about the last state of a given AR object with respect to a given user, or data regarding one or more sessions associated with a given user. The following Table 3 can represent an example structure of a database table used to store user data of the user data layer 216











TABLE 3





Column Name
Data Type
Brief Description







user_id
Long number,
Unique ID identifying a



(serving as a
user of the AR object system



primary key)
described herein.


user_name
Text
Username for the user




associated with the user_id.


time_stamp
Timestamp
Time at which this user record




was created or updated.









The following Table 4 can represent an example structure of a database table used to store data of the user data layer 216 for looking up user ownership/control of an AR object.











TABLE 4





Column Name
Data Type
Brief Description







user_id
Long number
ID for user (corresponding to a



(serving as a
user_id in table of User Data



foreign key)
Layer) associated as an owner of




an AR object model identified by




model_id


model_id
Long number
ID for model data of AR object



(serving as a
(corresponding to a model_id in



foreign key)
table of Model Data Layer).









The AR object model data layer 218 comprises data for one or more AR objects that can potentially be registered with the AR object system 116. Data stored by the AR object model data layer 218 can include, without limitation, model data for generating (e.g., rendering) a 3D model that visually represents a given AR object, data describing a (e.g., precalculated) 3D bounding box for a given AR object and rule data describe one or more rules for interacting with a given AR object. As described herein, a center of a 3D bounding box associated with a given AR object can determine how the given AR object is positioned and oriented when displayed by a client device with respect to a real-world environment (e.g., how the given AR object is embedded in real-world space presented by the client device). Additionally, as described herein, one or more rules associated with a given AR object can determine a level of user interaction available with respect to the given AR object. For instance, one or more rules of a given AR object can determine whether the AR object is static, has interactions limited to the client device, or allows multiuser interaction over through an interactive session.


Depending on the embodiment, the AR object model data layer 218 can be implemented as a data structure that implements a key-value store. The following Table 5 can represent an example structure of a database table used to store data of the AR object model data layer 218.











TABLE 5





Column Name
Data Type
Brief Description







model_id
Long number,
Unique ID associated with



(serving as a
model data of AR object.



primary key)



model_data
Binary bytes
Data blob used by a client




device to render the 3D




model of the AR object.


user_id
Long, foreign
ID for user (corresponding to



key into
a user_id in table of User



user_table
Data Layer) associated as an




owner of this marked area.









The AR object interactive session service 232 facilitates or manages the operation of an interactive session (hereafter, session) that enables multiuser interaction with respect to one or more registered AR objects (e.g., group of AR objects). As described herein, through a session, interaction data can be communicated between client devices of users that are jointly interacting with one or more AR objects. For some embodiments, the AR object interactive session service 232 assigns a user to a session when the user requests interaction with one or more given AR objects, where the assigned session is to handle the user's interactions with respect to the one or more given AR objects. Additionally, for some embodiments, the AR object interactive session service 232 assigns a user to a session when the user requests for a plurality of users to interact together (i.e., request multiuser interaction) with respect to one or more given AR objects. Depending on the embodiment, the AR object interactive session service 232 can assign users to a given session (e.g., fill the given sessions with users) using different approaches, such preferential assignment to users that are friends, or assignment on a first-come, first-serve basis.


In response to a request from a client device of a user to participate in a session to interact (e.g., facilitate multiuser interaction) with a set of AR objects, the AR object interactive session service 232 can assign the user to an existing session (e.g., one already operating on a session server) that can service the request, or generate and assign the user to a new session (e.g., spin up a new session on a session server) to service the request. More regarding session assignment and operation of sessions using mapping servers (e.g., world servers) and session servers is described herein with respect to FIGS. 3 and 4.


For some embodiments, a user is limited to participation in one session at a time. A user participating in a given session can idle out of the given session (e.g., based on lack of activity or interaction within the session after a period of time). Further, a given session can be assigned a user participant count limit to ensure that the given session operates as expected for participating users. The user participant count limit can vary between different sessions. For instance, the user participant count limit can be based on the geographic area/partition being serviced by the different sessions (e.g., area around a landmark, such as the Washington Monument, can likely involve more user AR object interactions and thus have a lower count limit than an area covering a small city park).


For some embodiments, the client device of each user participating in a given session shares data regarding that user's participation in the given session with the client devices of all other users participating in the given session. The data can include, without limitation, the user's inputs (e.g., swipes, head tilts, etc.) to the given session and changes to the state of an AR object involved in the given session caused by interactions of the user. For various embodiments, the sharing of data between the client device is facilitated through operations of the given session.


The state of an AR object involved in a session can be referred to as the AR object's session state. The current session state of an AR object of a session can serve as a “ground truth” for users interacting with the AR object through the session. With respect to a given session that is interacting with one or more given AR objects, the client device of user participating in (e.g., assigned to and involved in) the given session can receive the start state of each of those given AR objects at the start of the user's participation in the session, which the client device uses to initialize the session state of each of those given AR objects at the client device. The user can then participate in the session by, for example, interacting with one or more of the given AR objects, or user observing another user of the session interacting with one or more of the given AR objects. As the user participates in the given session, the user's client device can locally work with and maintain (e.g., store and update) a local copy of a session state for each of the given AR objects at the client device. For example, the client device can update the locally maintained session state of a first AR object of the given session based on the user interactions with the first AR object. Concurrently, the client device can update the locally maintained session state of the first AR object of the given session based on session state update data received by the client device regarding interactions with the first AR object by another user participating in the given session (e.g., session state update data being broadcasted, by the other user's client device, through the given session to all user client devices). Depending interaction level of a given AR object (e.g., as defined by a rule associated with the given AR object), at the termination of the given session, the final session state of the given AR object can be stored (e.g., persistently stored) to the AR object system 116 (e.g., stored to the user data layer 216 with respect to the users of the given session or stored for all users via the AR object model data layer 218). For instance, a rule of the given AR object can define that the given AR object can be interacted with through a session and any changes to the session state of the given AR object will eventually be saved to the AR object system 116. Once this final session state is stored to the AR object system 116, the stored session state can be used as initial/start state for the given AR object the next time one or more users start interacting with the given AR object again (e.g., within a new session). By maintaining local copies of session states at client devices and saving the final state of a given AR object (where applicable) at the end of a session, various embodiments can enable scalability of, can also promote stability of, and reduce or can avoid/reduce overwrite thrash by the AR object interactive session service 232.


The AR object interactive session service 232 can support multiple simultaneous sessions involving interaction of the same AR object. The sessions supported by the AR object interactive session service 232 can operate independently. Accordingly, with respect to a given AR object of a given session, access to the state of the given AR object within the given session (the given AR object's session state) can be maintained such that the session state cannot be accessed outside of the given session (e.g., by a user not participating in the given session). This means that two independent simultaneous sessions can involve users interacting with the same particular AR object, but each of those independent simultaneous sessions maintains its own session state for that particular AR object. The independence of sessions can enable some embodiments to manage (e.g., generate, assign, and operate) sessions using a mapping server and multiple session servers (e.g., independent sessions servers responsible for servicing sessions based on geopartitioning of the real-world) as described herein, which can provide scalability and stability for users. For instance, an independent session approach means that an embodiment can provide one or more users (within a single session) with the experience of seeing an AR object a user of the single session created with respect to a real-world object (e.g., placing a virtual hate on a real-world statue) for a satisfactory amount of time (rather than less than a small amount time, which would result if all users were interacting with the given AR object operated assigned to the same session or a session state of the given AR object was shared across multiple sessions). Where two or more simultaneous sessions involve one or more same AR objects, a merge rule functionality can be used to merge the final sessions states of those same AR objects if they are to be stored after termination of the simultaneous sessions.


More regarding operations of the AR object interactive session service 232 are described herein with respect to FIGS. 3 and 4.


The AR object query service 234 processes requests or queries, from client devices, for one or more AR objects from the AR registry implemented by the AR object system 116 (e.g., implemented via geolocation data of the logical topological data layer 214). Based on a received request/query, the AR object query service 234 can determine one or more AR objects (from the AR registry) to be sent back to a client device for use. In this way, the AR object query service 234 operates as an AR object surface service, given that one or more AR objects provided by the AR object query service 234 to a client device (e.g., based on a client request or query) causes (or likely causes) the client device to present or surface those one or more AR objects on the client device. The request/query to the AR object query service 234 can be generated by a client application (e.g., 104) on a client device, where the client application can use one or more AR objects provided by the AR object query service 234 to present with respect to a view of a real-world environment (e.g., to provide a mixed reality user experience). As described herein, the request/query can include information associated with a client device, such as such as information regarding the user of the client device, the current set of coordinates (e.g., GPS coordinates) of the client device, or a specified radius around the client device.


For some embodiments, the AR object query service 234 uses one or more rankers in determining which one or more AR objects are to be sent back to a client device in response to a request/query. By a ranker, the AR object query service 234 can prioritize, filter, or sort AR objects to determining a final set of AR objects sent to the client device. For example, the AR object query service 234 can determine (e.g., identify) an intermediate/initial set of AR objects from the AR registry based on the client request/query, and then use a ranker to filter and sort the intermediate/initial set of AR objects to determine a final set of AR objects to be sent to the client device. Alternatively, the ranker can receive the client request/query and generate a ranker-based query that includes one or more parameters for prioritizing, filtering, or sorting the AR objects the results provided in response to the ranker-based query. The filter, sort, or both can be performed, for example, on attributes associated with geolocation data from the logical topological data layer 214.


A ranker can be implemented such that it can be horizontally scalable. Depending on the embodiment, the AR object query service 234 can have one or more rankers available for use. The AR object query service 234 can select and use one or more rankers (from a plurality of available rankers) based on a number of factors including, for example, based on information provided in the client request/query (e.g., client device geographical location or specific radius) or a user selection or preference. As described herein, the AR object registry service 236 can facilitate registration of new or existing rankers with the AR object system 116, thereby enabling availability of those new/existing rankers for use by the AR object query service 234. An example ranker can include a query result limit (e.g., limit to 25 AR objects). Another example ranker can include an algorithm that selects AR objects based on a pseudo-random fairness and then sorts the selected AR objects.


For some embodiments, the AR object query service 234 can use a ranker that accesses bidding data (e.g., provided by a bidding system) to determine priorities of a set of AR objects, which can enable the AR object query service 234 to filter the set of AR objects based on the determined priorities. For example, with respect to a set of AR objects falling within a specific radius centered at a location corresponding to a location of a client device, a ranker can access (e.g., real-time) bidding data for one or more AR objects (in the set of AR objects), which can determine the priority of those one or more AR objects. Bidding data can be accessed for each AR object by performing a monetization lookup on each AR object.


The bidding data can be provided by a bidding system, which can be separate or part of the AR object system 116. Where separate, the bidding system can have at least read access to data of the AR object system 116, such as the geolocation data of the logical topological data layer 214, which can facilitate bidding on registration/placement of AR objects.


Some embodiments provide for or utilize a bidding system, that permits one or more users (e.g., representing third-party organizations) to bid on prioritizing (surfacing of) an AR object of their choosing over other AR objects. The one or more users can bid, for example, that an AR object of their choosing be prioritized (e.g., boosted in priority) in association with a set of coordinates, areas relative to (e.g., around) a set of coordinates, a marked area (e.g., described by zone data from the logical topological data layer 214), with respect to certain users or types of users, and the like. For example, with respect to a registered AR object (an AR object registered in association with a set of coordinates corresponding to a location on a map), a user can bid on boosting the priority of the registered AR object, (e.g., over other AR objects registered/placed with respect to locations at or around the same set of coordinates). By boosting the priority of the registered AR object via a winning bid, a user can effectively boost the display/presentation/surfacing rank of the registered AR on a client device. For instance, based on a ranker associated with bidding data, the request/query result provided to a client device can include a predetermined number of top bidded AR objects. The bid can comprise a value (e.g., monetary value or virtual credit) being offered by the bid, and can further comprise a priority value being requested by the bid (e.g., amount of priority boost or actual priority value). On the bidding system, a bid can comprise a user associating a monetary value/virtual credit with a geolocation data record (e.g., postion_id corresponding to the record) of the logical topological data layer 214.


By use of a ranker can enable the AR object system 116 to decentralize the ability to query the AR registry for AR objects. Additionally, use of a ranker can improve user experience by improving which AR objects are presented/surfaced to a user at a client device. For example, through use of a ranker, the AR object query service 234 can enable a user to see different types of AR objects based on, for example, the time of year or geographic location. For instance, what AR objects a user wants to be able to see in Las Vegas is not necessarily what one wants to be able to see at a family Thanksgiving dinner.


More regarding operations of the AR object query service 234 are described herein with respect to FIG. 5.


Through the AR object registry service 236, a user can manage (e.g., add, remove, or modify) registration of an AR object in association with one or more coordinates corresponding to a location on a map (e.g., topological map), can manage registration of a ranker in association with one or more coordinates corresponding to a location on a map, or both. For example, a user can use the AR object registry service 236 to generate a new registration of an AR object with respect to one or more coordinates corresponding to a location on a map. The new registration can be for an AR object newly added to the AR object model data layer 218 or already stored on the AR object model data layer 218. As described herein, registering an AR object in association with a set of coordinates can effectively place the AR object at a location corresponding to the set of coordinates (e.g., place the AR object relative to a real-world map to achieve mixed reality). Depending on the embodiment, a registration of AR object or a ranker can be ephemeral.


For some embodiments, the AR object registry service 236 uses permission data to determine whether a given user can register a given AR object, a given ranker, or both with respect to one or more coordinates on a map. For example, as described herein, zone data from the logical topological data layer 214 can provide permission data in association with one or more areas of a real-world environment (e.g., marked areas described by the zone data). Additionally, for some embodiments, the AR object registry service 236 implements one or more rate limitations with respect to registration requests (e.g., request for adding, removing, or updating registrations). For example, a rate limitation can define that a given user is limited to five registrations per a day through the AR object registry service 236. In another example, a rate limitation can define that a given user is limited to a predetermined number of registrations per a day, and the given user has to pay to register more than the predetermined number within a day. With a rate limitation, some embodiments can avoid spamming the AR object registry service 236 with registration requests.


Depending on the embodiment, the AR object registry service 236 can permit or facilitate registration of an AR object, a ranker, or both by the public domain (e.g., public registration). For instance, a user (e.g., from the public) can construct a new AR object or a new ranker and register this new item via the AR object registry service 236.


For some embodiments, the AR object registry service 236 stores a registration of an AR object (with respect to a set of coordinates corresponding to a location on a map) in the geolocation data of the logical topological data layer 214 as described herein (e.g., using model_id of TABLE 2). Similarly, for some embodiments, the AR object registry service 236 stores a registration of a ranker (e.g., with respect to a set of coordinates corresponding to a location on a map) as geolocation data of the logical topological data layer 214 as described herein (e.g., using ranker_id of TABLE 2). Some embodiments can facilitate registration of an AR object or a ranker in connection with an attribute of a client device (e.g., identity of a particular client device, a client device type, version of operating system, etc.) or an attribute of client application (e.g., identity or version of a particular client application or a particular client application type, such as a web browser, social networking, or messaging software application).



FIG. 3 is a block diagram illustrating an example of the AR object interactive session service 232, according to some embodiments. As shown in FIG. 3, the AR object interactive session service 232 comprises one or more mapping servers 302 (e.g., world server), and one or more session servers 304. Depending on the embodiment, a particular mapping server 302 can determine and assign a session (operating on a particular session server 304) to a client device, and a particular session server 304 can operate one or more sessions that support user interactions (e.g., multiuser interactions) with one or more AR objects. According to some embodiments, a client device of a user sends a request to use a session to interact (e.g., facilitate multiuser interaction) with a set of AR objects. The one or more mapping servers 302 can receive the request, determine a particular one of the session servers 304 (hereafter, the determined session server 304) to service the request, assign the user or the client device to a new or an existing session operating on the determined session server 304 that can service the request, and re-route or otherwise re-direct the client device to the determined session server 304. Depending on the embodiment, the mapping server 302 can determine which of the session servers 304 is to service a given request based on, for example, the set of coordinates of the client device, identity of the user, current load of session servers, association of session servers 304 to marked areas (e.g., geopartitioning) of the real-world environment. For instance, the mapping server 302 can determine which of the session servers 304 is to service a given request such that multiple simultaneous users interacting with the same set of AR objects are partitioned in a way that does not overload any one of the session servers 304, while maintaining preferential user groupings in sessions (e.g., placing users that are friends together in the same session).


A given session server 304 can operate a plurality of simultaneous sessions (e.g., based on its particular load or capacity). As described herein, a given session maintains its own session state for each of AR object involved in the given session, and those session states are maintained not accessible outside of the given session. A given session server 304 can operate a virtual, canonical copy of a session. Once multiple client devices of users participating in a given session (operating on a given session server 304) have established a data connection with the given session, each client device can communicate data, such as a user inputs (e.g., swipes, head tilts, etc.) or session state updates to AR objects, to the given session, and the given session can share the data with the other client devices connected to the given session. A client device can share data with the given session using, for example, a low latency, User Datagram Protocol (UDP)-based connection. Upon receiving user inputs from a client device, the given session can validate the user inputs (e.g., to deter or avoid bots or cheaters) and can share the validated user input to all other client devices (e.g., using the same low latency, UDP-based connection) so the client devices can update their local copies of session states of AR objects based on the validated user inputs accordingly. The given session can also update some session information based on the validated user inputs.



FIG. 4 is a flow diagram illustrating an example of session handling by an AR object interactive session service (e.g., 232), according to some embodiments. At the start, a client application operating on a client device 404 can cause the client device 404 to request/query for one or more AR objects from an AR object query service 402 (e.g., request/query based on a set of coordinates corresponding to the current location of the client device 404 and a radius value). At operation 420, the client device 404 can download data for the one or more AR objects that result from the request/query, which can include model data and rule data for the one or more AR objects. Subsequently, the user can interact with the one or more AR objects in accordance with one or more rules described by the rule data. Eventually, the user may request a session to facilitate multiuser interaction with respect to at least one of the one or more AR objects. Accordingly, at operation 422, the client device 404 can initialize a connection with a mapping server 406 (e.g., world server), which can enable the client device 404 to send its request for a session. In response to the request, at operation 424, the mapping server 406 can check an AR object interactive session cache 410 to determine whether there are any existing sessions associated with the at least one AR object (to which the client device 404 can be assigned), or whether a new session needs to be created for the request. In FIG. 4, the AR object interactive session cache 410 can cache information regarding sessions currently being operated by one or more session servers. Accordingly, a session server such as session server 408 can periodically update information stored on AR object interactive session cache 410 (as represented by operation 428). After the mapping server 406 identifies and assigns the client device 404 to a new or existing session, at operation 426, the mapping server 406 can redirect the client device 404 to the session server operating the assigned session (representing by the session server 408). Once redirected to the session server 408 and a data connection with the assigned session is established, at operation 430, the client device can send its user's inputs to the assigned session (to be shared by the assigned session with other client devices connected to the assigned session), and the client device can receive user inputs from client devices of other users participating in the assigned session. Based on the received user inputs, the client device 404 can update its local copy of session states for AR objects involved in the assigned session.



FIG. 5 is a flow diagram illustrating an example of using one or more rankers for providing a client device with one or more AR objects, according to some embodiments. At the start, a client application operating on a client device 502 can cause the client device 502 to request/query for one or more AR objects from an AR object query service 504 (e.g., request/query based on a set of coordinates corresponding to the current location of the client device 404 and a radius value). Operation 530 can represent the client device 502 sending the request/query to the AR object query service 504. The request/query can result from a user of the client device 502 using the client device 502 (e.g., smartphone) to scan their surrounding real-world environment for AR objects. The AR object query service 504 can determine one or more rankers associated with the received request/query (e.g., based on a set of coordinates provided by the request/query). One of the determined rankers can be one that accesses bidding data from a bidding system 506 at operation 532 and prioritizes one or more AR objects over other AR objects. As described herein, the bidding system 506 can enable a user to bid on prioritizing (e.g., boosting the priority of) a registered AR object. At operation 534, the AR object query service 504 can query geolocation data 508 to determine an intermediate set of AR objects associated with coordinates within a radius of the client device 502's current geographic location, and then apply the one or more determined rankers to the intermediate set of AR objects (e.g., filter or sort the intermediate set of AR objects) to reach a final set of AR objects. At operation 536, the AR object query service 504 can obtain (e.g., fetch) data for the final set of AR objects, which can include, for example, data from AR object model data 510 and rule data associated with the final set of AR objects. At operation 538, the data for the final set of AR objects is provided to and downloaded by the client device 502 (as represented by 512). At operation 540, the client device 502 can determine positioning of a virtual camera with respect to a display of the client device 502 (as represented by 514) and, at operation 542, the client device 502 can display rendered models of one or more of the AR objects from the final set based on the positioned virtual camera (as represented by 516). Subsequently, the user of the client device 502 can interact with the AR objects displayed on the client device 502.



FIG. 6 is a block diagram illustrating an example implementation of the AR object system 116, according to some embodiments. The AR object system 116 is shown as including an augmented reality (AR) object query module 602, an augmented reality (AR) object interactive session module 604, an augmented reality (AR) object registry module 606, an augmented reality (AR) object bidding module 608, a three-dimensional (3D) topological data module 610, a logical topological data module 612, a user data module 614, and an augmented reality (AR) object model data module 616. The various modules of the AR object system 116 are configured to communicate with each other (e.g., via a bus, shared memory, or a switch). Any one or more of these modules may be implemented using one or more processors 600 (e.g., by configuring such one or more processors 600 to perform functions described for that module) and hence may include one or more of the processors 600.


Any one or more of the modules described may be implemented using hardware alone (e.g., one or more of the computer processors of a machine, such as machine 1500) or a combination of hardware and software. For example, any described module of the AR object system 116 may physically include an arrangement of one or more of the processors 600 (e.g., a subset of or among the one or more processors of the machine, such the machine 1500) configured to perform the operations described herein for that module. As another example, any module of the AR object system 116 may include software, hardware, or both, that configure an arrangement of one or more processors 600 (e.g., among the one or more processors of the machine, such as the machine 1500)) to perform the operations described herein for that module. Accordingly, different modules of the AR object system 116 may include and configure different arrangements of such processors 600 or a single arrangement of such processors 600 at different points in time. Moreover, any two or more modules of the AR object system 116 may be combined into a single module, and the functions described herein for a single module may be subdivided among multiple modules. Furthermore, according to various embodiments, modules described herein as being implemented within a single machine, database, or device may be distributed across multiple machines, databases, or devices.


The AR object query module 602 to facilitate or implement aspects, features, or functionalities of the AR object query service 234 described herein with respect to FIG. 2. The AR object interactive session module 604 to facilitate or implement aspects, features, or functionalities of the AR object interactive session service 232 described herein with respect to FIG. 2. The AR object registry module 606 to facilitate or implement aspects, features, or functionalities of the AR object registry service 236 described herein with respect to FIG. 2. For some embodiments, the AR object registry module 606 also supports registration of a ranker as described herein. The AR object bidding module 608 to facilitate or implement aspects, features, or functionalities of a bidding system described herein with respect to the AR object query service 234 of FIG. 2. The 3D topological data module 610 to facilitate or implement aspects, features, or functionalities with respect to the 3D topological data layer 212 described herein with respect to FIG. 2. The logical topological data module 612 to facilitate or implement aspects, features, or functionalities with respect to the logical topological data layer 214 described herein with respect to FIG. 2. The user data module 614 to facilitate or implement aspects, features, or functionalities of the user data layer 216 described herein with respect to FIG. 2. The AR object model data module 616 to facilitate or implement aspects, features, or functionalities of the AR object model data layer 218 described herein with respect to FIG. 2.


For some embodiments, a set of world servers and a set of session servers used to implement or operate the AR object interactive session module 604. Additionally, for some embodiments, the AR object query module 602 is implemented or operates on a set of query servers that are separate from the set of world servers and the set of session servers used to operate the AR object interactive session module 604. More regarding modules 602-616 is described below with respect to operations of the methods depicted by FIGS. 7-13.



FIGS. 7 through 13 are flowcharts illustrating methods relating to an AR object registry, according to some embodiments. Various methods described herein with respect to FIGS. 7 through 13 may be embodied in machine-readable instructions for execution by one or more computer processors such that the operations of the methods may be performed in part or in whole by the server system 108 or, more specifically, the AR object system 116. Accordingly, various methods are described herein by way of example with reference to the AR object system 116. At least some of the operations of the method 800 may be deployed on various other hardware configurations, and the methods described herein are not intended to be limited to being operated by the server system 108. Though the steps of the methods described herein may be depicted and described in a certain order, the order in which the operations are performed may vary between embodiments. For example, an operation may be performed before, after, or concurrently with another operation. Additionally, the components described with respect to the methods are merely examples of components that may be used with the methods, and other components may also be utilized, in some embodiments.


Referring now to FIG. 7, a method 700 is illustrated for providing AR objects to a client device and handling a session for interacting with a provided AR object. At operation 702, the AR object query module 602 receives a query from a client device for one or more augmented reality objects, where the query can comprise a current set of coordinates that corresponds to a position of the client device on a map, and can further comprise a radius relative to (e.g., centered by a location corresponding to) the current set of coordinates.


In response to the query received at operation 702, at operation 704, the AR object query module 602 determines (e.g., identifies) a set of augmented reality objects based on the query and, at operation 706, sends a query result to the client device, where the query result comprises result data for the set of augmented reality objects determined by operation 704. The determination of the set of augmented reality objects based on the query can comprise the AR object query module 602 executing a search based on the received query. The set of augmented reality objects can be determined by operation 704 from a plurality of augmented reality objects registered on an augmented reality object registry (e.g., as registered via the AR object registry module 606). As described herein, based on the result data provided to the client device by the query result, the client device can display (or surface) one or more of the augmented reality objects from the set of augmented reality objects.


Depending on the embodiment, the result data can comprise a current stored state of the at least one augmented reality object (state stored on the AR object system 116), where the current stored state once provided to the client device can determine an initial state of the at least one augmented reality object for the user on the client device. The result data can comprise model data for each augmented reality object in the set of augmented reality objects. The result data can comprise location (e.g., position) data that describes, for each augmented reality object in the set of augmented reality objects, a given set of coordinates on the map at which the augmented reality object is to be displayed by a given client device when the given client device generates an augmented reality view relative to the given set of coordinates. The result data can comprise orientation data that describes, for each augmented reality object in the set of augmented reality objects, a given orientation at which a given client device is to display the augmented reality object when the client device generates an augmented reality view that includes the augmented reality object. Additionally, the result data can comprise rule data that describes a set of interaction rules associated with the set of augmented reality objects, where the set of interaction rules can determine interactions available to the user (on the first client device) with respect to the set of augmented reality objects. The augmented reality registry of the AR object system 116 can associate a given augmented reality object with one or more interaction rules.


At operation 708, the AR object interactive session module 604 receives, from the client device, a request for a user at the client device to interact with at least one augmented reality object in the set of augmented reality objects (determined at operation 704 and for which the query result was sent to the client device at operation 706).


In response to the request received at operation 708, at operation 710, the AR object interactive session module 604 determines (e.g., identifies) a given session server to service the request received at operation 708 and, at operation 712, assigns the client device to a given session operating on the given session server. The given session can be a new session created by the given session in response to the request, or an existing session that involves the same set of AR objects associated with the request. For some embodiments, the AR object interactive session module 604 can check a session cache to determine whether a relevant, existing session already exists for the request. The given session server determined at operation 710 can be associated with a geographic partition of the map that contains the position of the client device on the map. As described herein, the given session can facilitate interaction with the at least one augmented reality object by the user of the client device. Additionally, as described herein, the given session can maintain a session state for the at least one augmented reality object with respect to one or more users associated with (e.g., participating in) the given session, where the session state can be updated based on interaction of at least one of the users with the at least one augmented reality object. The given session server can be determined from a plurality of given session servers (e.g., 304), a mapping server (e.g., 302) can perform the determination of the given session server. For some embodiments, the plurality of session servers operates on a first set of computer devices that is separate from a second set of computer devices operating the mapping server. For some embodiments, assigning the first client device to the given session operating on the given session server comprises redirecting the client device from the mapping server to the given session server. Once the given session is assigned to the user, the user data can be updated via the user data module 614. Subsequent to the assignment, a network connection can be established between the client device and the (assigned) given session on the given session server.


Referring now to FIG. 8, a method 800 is illustrated for providing AR objects to a client device and handling a session for a plurality of users to interact with a provided AR object. For some embodiments, operations 802 through 806 are respectively similar to operation 702 through 706 of the method 700 described above with respect to FIG. 7, and performed with respect to a first client device (associated with a first user). At operation 808, the AR object interactive session module 604 receives, from the first client device, a request for a plurality of users to interact together (e.g., multiuser interactive session) with at least one augmented reality object in the set of augmented reality objects (determined at operation 804 and for which the query result was sent to the first client device at operation 806). As described herein, a multiuser interactive session can facilitate interaction by a plurality of users with the at least one augmented reality object.


In response to the request received at operation 808, at operation 810, the AR object interactive session module 604 determines (e.g., identifies) a given session server to service the request received at operation 808 and, at operation 812, assigns the first client device to a given session operating on the given session server. As described herein, the given session server determined at operation 810 can be associated with a geographic partition of the map that contains the position of the first client device on the map. Additionally, at operation 814, the AR object interactive session module 604 assigns a second client device associated with a second user to the same given session operating on the same given session server (determined at operation 810), where the first user of the first client device and the second user of the second client device are part of the plurality of users for which session request was received at operation 808. Additionally, other users of the plurality of users can be assigned to the same given session on the same given session server in a similar manner.


Referring now to FIG. 9, a method 900 is illustrated for providing AR objects to a client device and handling a session for interacting with a provided AR object. For some embodiments, operations 902 through 912 are similar to operation 702 through 712 of the method 700 described above with respect to FIG. 7. At operation 914, at termination of the given session, the AR object interactive session module 604 stores (or causes the storage) of a final version of a session state of the at least one augmented reality object. As described herein, the final version of a session state of a given augmented reality object can be determined (e.g., adjusted) by interactions of users participating in the given session.


Referring now to FIG. 10, a method 1000 is illustrated for registering an AR object to an AR object registry. At operation 1002, the AR object registry module 606 receives, from a client device associated with a user, a request to register a given augmented reality object on an augmented reality object registry in association with a given set of coordinates on the map.


In response to the request received at operation 1002, at operation 1004, the AR object registry module 606 determines, based on permission data, whether the user has permission to register the given augmented reality object in association with the given set of coordinates on the map. For some embodiments, the permission data describes an association between at least one set of coordinates on the map and a set of permissions. The permission data can be associated with a marked area of the map that contains the given set of coordinates. Accordingly, for some embodiments, the permission data can be provided by zone data accessible through the logical topological data module 612.


Additionally, in response to the request received at operation 1002, operation 1006 is performed. At operation 1006, based on the determining whether the user has permission, the AR object registry module 606 registers the given augmented reality object on the augmented reality object registry in association with the given set of coordinates on the map. When doing so, the AR object registry module 606 can designate the user as the owner or controller of the registration.


Referring now to FIG. 11, a method 1100 is illustrated for providing AR objects to a client device based on one or more rankers. At operation 1102, the AR object query module 602 receives a query from a client device for one or more augmented reality objects, where the query can comprise a current set of coordinates that corresponds to a position of the client device on a map, and can further comprise a radius relative to (e.g., centered by a location corresponding to) the current set of coordinates.


In response to the query received at operation 1102, at operation 1104, the AR object query module 602: determines (e.g., identifies) an intermediate set of augmented reality objects based on the query; at operation 1106, determining a set of rankers for the query, where at least one ranker in the set of rankers is configured to filter or sort a set of augmented reality objects; and at operation 1108, generates a final set of augmented reality objects by applying the set of rankers (e.g., filtering or sorting according to the rankers) to the intermediate set of augmented reality objects. An example ranker can include one that applies at least one of a filter or a sort order to a set of augmented reality objects.


Another example ranker can include one that filters a set of augmented reality objects based on a set of priorities for the set of augmented reality objects. The priorities can be provided (or determined), for example, by geolocation data (e.g., provided via the logical topological data module 612) or by bidding data (e.g., provided via the AR object bidding module 608) that is associated with one or more of the augmented reality objects. As described herein, a bidding system (e.g., implemented by the AR object bidding module 608) can enable a user to place a bid on an AR object registration to adjust (e.g., boost) the priority of that AR object registration. Through the AR object bidding module 608, a ranker can: request, from a bidding system, priority information for a set of augmented reality objects, and receive, from the bidding system, priority data that describes priorities for at least one of the set of augmented reality objects.


The determination (e.g., identification) of at least one of the rankers can be based on an association of the ranker to the user of the client device (e.g., user selected use of the ranker or registered by the user). The determination of at least one of the rankers can be based on the current set of coordinates corresponding to the location of the client device. In doing so, a ranker can be applied to a radius around the client device. The determination of at least one of the rankers can be based on an attribute of a client device, such as the identity of the client device or a device type of the client device. The determination of at least one of the rankers can be based on at least one of a set (e.g., range) of dates or a set of times. In doing so, a ranker can be applied based on different portions of the years (e.g., according to seasons of the year).


As alternative to operations 1104 through 1108, for some embodiments, in response to the query received at operation 1102, the AR object query module 602: determines a set of rankers for the client query (e.g., where at least one ranker in the set of rankers comprises a filter parameter for filtering a set of augmented reality objects or a sort order parameter for sorting a set of augmented reality objects); and generates (e.g., constructs) a query (a ranker-based query) based on the client query and the set of rankers; and then determines (e.g., identifies) a final set of augmented reality objects based on the ranker-based query.


At operation 1110, the AR object query module 602 sends a query result to the client device, where the query result comprises result data for the final set of augmented reality objects (e.g., the final set as determined by operation 1108 or the alternative approach). As described herein, the result data for the final set of augmented reality objects can comprise various types of data (e.g., location data, model data, orientation data, etc.) for one or more of the augmented reality objects in the final set.


Referring now to FIG. 12, a method 1200 is illustrated for providing AR objects to a client device based on one or more rankers involving a bidding system. For some embodiments, operations 1202 through 1206 are respectively similar to operation 1102 through 1106 of the method 1100 described above with respect to FIG. 11. At operation 1208, the AR object query module 602 requests, from a bidding system (via the AR object bidding module 608), priority information for the intermediate set of augmented reality objects determined at operation 1204. For some embodiments, operation 1208 is performed based on at least one of the rankers determined at operation 1206 (e.g., the ranker uses priority information of augmented reality objects to filter or sort them). At operation 1210, the AR object query module 602 receives, from the bidding system, priority data (or bidding data) that describes a priority for at least one augmented reality object in the intermediate set of augmented reality objects.


For some embodiments, operations 1212 and 1214 are respectively similar to operation 1108 and 1110 of the method 1100 described above with respect to FIG. 11. As described herein, the priority information obtained via operations 1208 and 1210 can enable a ranker applied to the intermediate set of augmented reality objects (by operation 1212) to filter or sort the intermediate set of augmented reality objects.


Referring now to FIG. 13, a method 1300 is illustrated for registering a ranker to a ranker registry (which may be implemented as part of the AR object registry). At operation 1302, the AR object registry module 606 receives, from a client device associated with a user, a request to register a given ranker on a ranker registry (e.g., in association with the given set of coordinates on the map, the marked area, with a specific client device, a client device type, user, type of user, time of day, date, season, etc.).


In response to the request received at operation 1302, at operation 1304, the AR object registry module 606 determines, based on permission data, whether the user has permission to register the given ranker. For some embodiments, the permission data describes an association between at least one set of coordinates on the map and a set of permissions. The permission data can be associated with a marked area of the map that contains the given set of coordinates. Accordingly, for some embodiments, the permission data can be provided by zone data accessible through the logical topological data module 612.


Additionally, in response to the request received at operation 1302, operation 1306 is performed. At operation 1306, based on the determining whether the user has permission, the AR object registry module 606 registers the given ranker on the ranker registry (e.g., in association with the given set of coordinates on the map, the marked area, with a specific client device, a client device type, user, type of user, time of day, date, season, etc.). When doing so, the AR object registry module 606 can designate the user as the owner or controller of the registration. The ranker can be registered for use by the user only, or open for use by other users on the AR object system 116.



FIG. 14 is a block diagram illustrating an example software architecture 1406, which may be used in conjunction with various hardware architectures herein described. FIG. 14 is a non-limiting example of a software architecture and it will be appreciated that many other architectures may be implemented to facilitate the functionality described herein. The software architecture 1406 may execute on hardware such as machine 1500 of FIG. 15 that includes, among other things, processors 1504, memory/storage 1506, and I/O components 1518. A representative hardware layer 1452 is illustrated and can represent, for example, the machine 1500 of FIG. 15. The representative hardware layer 1452 includes a processing unit 1454 having associated executable instructions 1404. Executable instructions 1404 represent the executable instructions of the software architecture 1406, including implementation of the methods, components and so forth described herein. The hardware layer 1452 also includes memory or storage modules memory/storage 1456, which also have executable instructions 1404. The hardware layer 1452 may also comprise other hardware 1458.


In the example architecture of FIG. 14, the software architecture 1406 may be conceptualized as a stack of layers where each layer provides particular functionality. For example, the software architecture 1406 may include layers such as an operating system 1402, libraries 1420, applications 1416, and a presentation layer 1414. Operationally, the applications 1416 or other components within the layers may invoke application programming interface (API) calls 1408 through the software stack and receive a response in the example form of messages 1412 to the API calls 1408. The layers illustrated are representative in nature and not all software architectures have all layers. For example, some mobile or special purpose operating systems may not provide a frameworks/middleware 1418, while others may provide such a layer. Other software architectures may include additional or different layers.


The operating system 1402 may manage hardware resources and provide common services. The operating system 1402 may include, for example, a kernel 1422, services 1424 and drivers 1426. The kernel 1422 may act as an abstraction layer between the hardware and the other software layers. For example, the kernel 1422 may be responsible for memory management, processor management (e.g., scheduling), component management, networking, security settings, and so on. The services 1424 may provide other common services for the other software layers. The drivers 1426 are responsible for controlling or interfacing with the underlying hardware. For instance, the drivers 1426 include display drivers, camera drivers, Bluetooth® drivers, flash memory drivers, serial communication drivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi® drivers, audio drivers, power management drivers, and so forth depending on the hardware configuration.


The libraries 1420 provide a common infrastructure that is used by the applications 1416 or other components or layers. The libraries 1420 provide functionality that allows other software components to perform tasks in an easier fashion than to interface directly with the underlying operating system 1402 functionality (e.g., kernel 1422, services 1424, or drivers 1426). The libraries 1420 may include system libraries 1444 (e.g., C standard library) that may provide functions such as memory allocation functions, string manipulation functions, mathematical functions, and the like. In addition, the libraries 1420 may include API libraries 1446 such as media libraries (e.g., libraries to support presentation and manipulation of various media formats such as MPEG4, H.264, MP3, AAC, AMR, JPG, PNG), graphics libraries (e.g., an OpenGL framework that may be used to render 2D and 3D graphic content on a display), database libraries (e.g., SQLite that may provide various relational database functions), web libraries (e.g., WebKit that may provide web browsing functionality), and the like. The libraries 1420 may also include a wide variety of other libraries 1448 to provide many other APIs to the applications 1416 and other software components/modules.


The frameworks/middleware 1418 (also sometimes referred to as middleware) provide a higher-level common infrastructure that may be used by the applications 1416 or other software components/modules. For example, the frameworks/middleware 1418 may provide various graphic user interface (GUI) functions, high-level resource management, high-level location services, and so forth. The frameworks/middleware 1418 may provide a broad spectrum of other APIs that may be used by the applications 1416 or other software components/modules, some of which may be specific to a particular operating system 1402 or platform.


The applications 1416 include built-in applications 1438 or third-party applications 1440. Examples of representative built-in applications 1438 may include, but are not limited to, a contacts application, a browser application, a book reader application, a location application, a media application, a messaging application, or a game application. Third-party applications 1440 may include an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform, and may be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or other mobile operating systems. The third-party applications 1440 may invoke the API calls 1408 provided by the mobile operating system (such as operating system 1402) to facilitate functionality described herein.


The applications 1416 may use built-in operating system functions (e.g., kernel 1422, services 1424, or drivers 1426), libraries 1420, and frameworks/middleware 1418 to create user interfaces to interact with users of the system. Alternatively, or additionally, in some systems, interactions with a user may occur through a presentation layer, such as presentation layer 1414. In these systems, the application/component “logic” can be separated from the aspects of the application/component that interact with a user.



FIG. 15 is a block diagram illustrating components of a machine 1500, according to some embodiments, able to read instructions from a machine-readable medium (e.g., a computer-readable storage medium) and perform any one or more of the methodologies discussed herein. Specifically, FIG. 15 shows a diagrammatic representation of the machine 1500 in the example form of a computer system, within which instructions 1510 (e.g., software, a program, an application, an applet, an app, or other executable code) for causing the machine 1500 to perform any one or more of the methodologies discussed herein may be executed. As such, the instructions 1510 may be used to implement modules or components described herein. The instructions 1510 transform the general, non-programmed machine 1500 into a particular machine 1500 programmed to carry out the described and illustrated functions in the manner described. In alternative embodiments, the machine 1500 operates as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 1500 may operate in the capacity of a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine 1500 may comprise, but not be limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular telephone, a smart phone, a mobile device, a wearable device (e.g., a smart watch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of executing the instructions 1510, sequentially or otherwise, that specify actions to be taken by machine 1500. Further, while only a single machine 1500 is illustrated, the term “machine” shall also be taken to include a collection of machines that individually or jointly execute the instructions 1510 to perform any one or more of the methodologies discussed herein.


The machine 1500 may include processors 1504, memory memory/storage 1506, and I/O components 1518, which may be configured to communicate with each other such as via a bus 1502. The memory/storage 1506 may include a memory 1514, such as a main memory, or other memory storage, and a storage unit 1516, both accessible to the processors 1504 such as via the bus 1502. The storage unit 1516 and memory 1514 store the instructions 1510 embodying any one or more of the methodologies or functions described herein. The instructions 1510 may also reside, completely or partially, within the memory 1514, within the storage unit 1516, within at least one of the processors 1504 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 1500. Accordingly, the memory 1514, the storage unit 1516, and the memory of processors 1504 are examples of machine-readable media.


The I/O components 1518 may include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. The specific I/O components 1518 that are included in a particular machine 1500 will depend on the type of machine. For example, portable machines such as mobile phones will likely include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that the I/O components 1518 may include many other components that are not shown in FIG. 15. The I/O components 1518 are grouped according to functionality merely for simplifying the following discussion and the grouping is in no way limiting. In various embodiments, the I/O components 1518 may include output components 1526 and input components 1528. The output components 1526 may include visual components (e.g., a display such as a plasma display panel (PDP), a light emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor, resistance mechanisms), other signal generators, and so forth. The input components 1528 may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric input components), point based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or other pointing instrument), tactile input components (e.g., a physical button, a touch screen that provides location or force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like.


In further embodiments, the I/O components 1518 may include biometric components 1530, motion components 1534, environment components 1536, or position components 1538 among a wide array of other components. For example, the biometric components 1530 may include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram based identification), and the like. The motion components 1534 may include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The environment components 1536 may include, for example, illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometer that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment. The position components 1538 may include location sensor components (e.g., a Global Position system (GPS) receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like.


Communication may be implemented using a wide variety of technologies. The I/O components 1518 may include communication components 1540 operable to couple the machine 1500 to a network 1532 or devices 1520 via coupling 1522 and coupling 1524 respectively. For example, the communication components 1540 may include a network interface component or other suitable device to interface with the network 1532. In further examples, communication components 1540 may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components to provide communication via other modalities. The devices 1520 may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a Universal Serial Bus (USB)).


Moreover, the communication components 1540 may detect identifiers or include components operable to detect identifiers. For example, the communication components 1540 may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication components 1540, such as, location via Internet Protocol (IP) geo-location, location via Wi-Fi® signal triangulation, location via detecting a NFC beacon signal that may indicate a particular location, and so forth.


Throughout this specification, plural instances may implement components, operations, or structures described as a single instance. Although individual operations of one or more methods are illustrated and described as separate operations, one or more of the individual operations may be performed concurrently, and nothing requires that the operations be performed in the order illustrated. Structures and functionality presented as separate components in example configurations may be implemented as a combined structure or component. Similarly, structures and functionality presented as a single component may be implemented as separate components. These and other variations, modifications, additions, and improvements fall within the scope of the subject matter herein.


Although an overview of the inventive subject matter has been described with reference to specific embodiments, various modifications and changes may be made to these embodiments without departing from the broader scope of embodiments of the present disclosure.


The embodiments illustrated herein are described in sufficient detail to enable those skilled in the art to practice the teachings disclosed. Other embodiments may be used and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. The detailed description, therefore, is not to be taken in a limiting sense, and the scope of various embodiments is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled.


As used herein, the term “or” may be construed in either an inclusive or exclusive sense. The terms “a” or “an” should be read as meaning “at least one,” “one or more,” or the like. The use of words and phrases such as “one or more,” “at least,” “but not limited to,” or other like phrases shall not be read to mean that the narrower case is intended or required in instances where such broadening phrases may be absent.


Boundaries between various resources, operations, components, modules, engines, and data stores are somewhat arbitrary, and particular operations are illustrated in a context of specific illustrative configurations. Other allocations of functionality are envisioned and may fall within a scope of various embodiments of the present disclosure. In general, structures and functionality presented as separate resources in the example configurations may be implemented as a combined structure or resource. Similarly, structures and functionality presented as a single resource may be implemented as separate resources. These and other variations, modifications, additions, and improvements fall within a scope of embodiments of the present disclosure as represented by the appended claims. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.


The description above includes systems, methods, devices, instructions, and computer media (e.g., computing machine program products) that embody illustrative embodiments of the disclosure. In the description, for the purposes of explanation, numerous specific details are set forth in order to provide an understanding of various embodiments of the inventive subject matter. It will be evident, however, to those skilled in the art, that embodiments of the inventive subject matter may be practiced without these specific details. In general, well-known instruction instances, protocols, structures, and techniques are not necessarily shown in detail.


Glossary

“AUGMENTED REALITY OBJECT” in this context can refer to a virtual object (e.g., two dimension or three dimensional virtual objects) that can be presented in a client device-generated view of a real-world environment (e.g., a view presented on a display of a mobile client device), where the virtual object can interact with or enhance a real-world physical object of the real-world environment presented in the view. For example, using a camera of a smartphone, a user can view their surrounding real-world environment through the smartphone's display and the smartphone can enhance that view by displaying (e.g., superimposing) one or more virtual objects (e.g., three dimensional virtual objects) in the view in connection with one or more particular real-world physical objects of the real-world environment. For instance, an augmented reality object can be combined with a live (e.g., real-time or near real-time) camera feed such that when the augmented reality object is presented, it appears situated in the live a three-dimensional environment (e.g., augmented reality object appears to occupy a consistent three-dimensional volume and dynamically changing in aspect responsive to movement of the camera in a manner similar to that which would have been the case were the AR object a real-world physical object). In addition to visual information, a client device can convey to a user other sensory information in association with a particular augmented reality object, such as auditory information (e.g., music) and haptic information.


“MIXED REALITY” in this context can refer to a merger of real-world environment and a virtual world environment (that can include one or more augmented reality objects) to generate new visualizations through a client device. The new visualizations can enhance one or more real-world physical objects of the real-world environment. The new visualization can create a new mixed reality environment in which real world physical objects and augmented reality objects can coexist and interact with each other in real time. Additionally, within mixed realty, a user can use the client device to interact in real time with the augmented reality objects.


“CLIENT DEVICE” in this context can refer to any machine that interfaces to a communications network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, desktop computer, laptop, portable digital assistants (PDAs), smart phones, tablets, ultra books, netbooks, laptops, multi-processor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user may use to access a network.


“COMMUNICATIONS NETWORK” in this context can refer to one or more portions of a network that may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, another type of network, or a combination of two or more such networks. For example, a network or a portion of a network may include a wireless or cellular network and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or other type of cellular or wireless coupling. In this example, the coupling may implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized (EVDO) technology, General Packet Radio Service (GPRS) technology, Enhanced Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standard, others defined by various standard setting organizations, other long range protocols, or other data transfer technology.


“EMPHEMERAL” in this context can describe an item that is accessible for a time-limited duration. An ephemeral item may be an AR object, text, an image, a video and the like. The access time for the ephemeral item may be set by the item owner or originator (e.g., message sender or user registering the AR object). Alternatively, the access time may be a default setting or a setting specified by accessing user (e.g., the recipient or the user attempting to access the registered AR object). Regardless of the setting technique, the ephemeral item is transitory.


“MACHINE-READABLE MEDIUM” in this context can refer to a component, device or other tangible media able to store instructions and data temporarily or permanently and may include, but is not be limited to, random-access memory (RAM), read-only memory (ROM), buffer memory, flash memory, optical media, magnetic media, cache memory, other types of storage (e.g., Erasable Programmable Read-Only Memory (EEPROM)) and/or any suitable combination thereof. The term “machine-readable medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, or associated caches and servers) able to store instructions. The term “machine-readable medium” shall also be taken to include any medium, or combination of multiple media, that is capable of storing instructions (e.g., code) for execution by a machine, such that the instructions, when executed by one or more processors of the machine, cause the machine to perform any one or more of the methodologies described herein. Accordingly, a “machine-readable medium” refers to a single storage apparatus or device, as well as “cloud-based” storage systems or storage networks that include multiple storage apparatus or devices. The term “machine-readable medium” excludes signals per se.


“COMPONENT” in this context can refer to a device, physical entity or logic having boundaries defined by function or subroutine calls, branch points, application program interfaces (APIs), or other technologies that provide for the partitioning or modularization of particular processing or control functions. Components may be combined via their interfaces with other components to carry out a machine process. A component may be a packaged functional hardware unit designed for use with other components and a part of a program that usually performs a particular function of related functions. Components may constitute either software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various embodiments, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware component that operates to perform certain operations as described herein. A hardware component may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations. A hardware component may be a special-purpose processor, such as a Field-Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC). A hardware component may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, hardware components become specific machines (or specific components of a machine) uniquely tailored to perform the configured functions and are no longer general-purpose processors. It will be appreciated that the decision to implement a hardware component mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations. Accordingly, the phrase “hardware component” (or “hardware-implemented component”) should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering embodiments in which hardware components are temporarily configured (e.g., programmed), each of the hardware components need not be configured or instantiated at any one instance in time. For example, where a hardware component comprises a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware components) at different times. Software accordingly configures a particular processor or processors, for example, to constitute a particular hardware component at one instance of time and to constitute a different hardware component at a different instance of time. Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be regarded as being communicatively coupled. Where multiple hardware components exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware components. In embodiments in which multiple hardware components are configured or instantiated at different times, communications between such hardware components may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware components have access. For example, one hardware component may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware component may then, at a later time, access the memory device to retrieve and process the stored output. Hardware components may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information). The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented component” refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be at least partially processor-implemented, with a particular processor or processors being an example of hardware. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented components. Moreover, the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an Application Program Interface (API)). The performance of certain of the operations may be distributed among the processors, not only residing within a single machine, but deployed across a number of machines. In some embodiments, the processors or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other embodiments, the processors or processor-implemented components may be distributed across a number of geographic locations.


“PROCESSOR” in this context can refer to any circuit or virtual circuit (a physical circuit emulated by logic executing on an actual processor) that manipulates data values according to control signals (e.g., “commands”, “op codes”, “machine code”, etc.) and which produces corresponding output signals that are applied to operate a machine. A processor may, for example, be a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) processor, a Complex Instruction Set Computing (CISC) processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC) or any combination thereof. A processor may further be a multi-core processor having two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously.


“TIMESTAMP” in this context can refer to a sequence of characters or encoded information identifying when a certain event occurred, for example giving date and time of day, sometimes accurate to a small fraction of a second.

Claims
  • 1. A method comprising: receiving, from a first client device, a request to register a given ranker on a ranker registry in association with a specified set of coordinates corresponding to a first position on a map;determining, based on zone data associated with the specified set of coordinates, whether a first user has permission to register the given ranker on the ranker registry, the zone data identifying one or more permissions for one or more geo-partitions of a real-world environment;based on the determining whether the first user has permission, registering the given ranker on the ranker registry;receiving, from a second client device associated with a second user, a query for one or more augmented reality objects, the query comprising a current set of coordinates that corresponds to a second position of the second client device on the map; andin response to the query:determining an intermediate set of augmented reality objects based on the query, the intermediate set of augmented reality objects being determined from a plurality of registered augmented reality objects registered on an augmented reality object registry;determining a set of rankers for the query from a plurality of rankers registered on the ranker registry, at least one ranker in the set of rankers being configured to filter the intermediate set of augmented reality objects;generating a final set of augmented reality objects by applying the set of rankers to the intermediate set of augmented reality objects; andsending a query result to the second client device, the query result comprising result data for the final set of augmented reality objects.
  • 2. The method of claim 1, wherein at least another ranker in the set of rankers is to apply a sort order to the intermediate set of augmented reality objects.
  • 3. The method of claim 1, wherein at least another ranker in the set of rankers is determined for the query based on the second user associated with the second client device.
  • 4. The method of claim 3, wherein at least another ranker in the set of rankers is determined for the query based on a selection of a ranker by the second user.
  • 5. The method of claim 1, wherein at least another ranker in the set of rankers is determined for the query based on the current set of coordinates.
  • 6. The method of claim 1, wherein at least another ranker in the set of rankers is determined for the query based on at least one of a set of dates or a set of times.
  • 7. The method of claim 1, wherein the at least one ranker is to further filter the intermediate set of augmented reality objects based on a set of priorities for the intermediate set of augmented reality objects.
  • 8. The method of claim 7, wherein a priority of at least one augmented reality object, in the intermediate set of augmented reality objects, is determined based on bidding data associated with the at least one augmented reality object.
  • 9. The method of claim 7, further comprising: requesting, from a bidding system, priority information for the intermediate set of augmented reality objects, the bidding system facilitating user bidding on priorities of augmented reality objects; andreceiving, from the bidding system, priority data that describes at least a subset of priorities in the set of priorities for the intermediate set of augmented reality objects.
  • 10. A non-transitory machine-readable medium storing instructions that, when executed by one or more computer processors, cause the one or more computer processors to perform operations comprising: receiving, from a first client device, a request to register a given ranker on a ranker registry in association with a specified set of coordinates corresponding to a first position on a map;determining, based on zone data associated with the specified set of coordinates, whether a first user has permission to register the given ranker on the ranker registry, the zone data identifying one or more permissions for one or more geo-partitions of a real-world environment;based on the determining whether the first user has permission, registering the given ranker on the ranker registry;receiving, from a second client device associated with a second user, a client query for one or more augmented reality objects, the client query comprising a current set of coordinates that corresponds to a second position of the second client device on the map; andin response to the client query:determining a set of rankers for the client query from a plurality of rankers registered on the ranker registry, at least one ranker in the set of rankers comprising a filter parameter for filtering a set of augmented reality objects,;generating a ranker-based query based on the client query and the set of rankers;determining a given set of augmented reality objects based on the ranker-based query, the given set of augmented reality objects being determined from a plurality of registered augmented reality objects registered on an augmented reality object registry; andsending a query result to the second client device, the query result comprising result data for the given set of augmented reality objects.
  • 11. The non-transitory machine-readable medium of claim 10, wherein at least another ranker in the set of rankers comprises a sort order parameter for sorting a set of augmented reality objects.
  • 12. The non-transitory machine-readable medium of claim 10, wherein at least another ranker in the set of rankers is determined for the client query based on the second user associated with the second client device.
  • 13. The non-transitory machine-readable medium of claim 10, wherein at least another ranker in the set of rankers is determined for the client query based on a selection of a ranker by the second user.
  • 14. The non-transitory machine-readable medium of claim 10, wherein at least another ranker in the set of rankers is determined for the client query based on the current set of coordinates.
  • 15. The non-transitory machine-readable medium of claim 10, wherein at least another ranker in the set of rankers is determined for the client query based on at least one of a set of dates or a set of times.
  • 16. The non-transitory machine-readable medium of claim 10, wherein the filter parameter is to filter based on a priority associated with an augmented reality object.
  • 17. A system comprising: one or more processors; andone or more machine-readable mediums storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising:receiving, from a first client device, a request to register a given ranker on a ranker registry in association with a specified set of coordinates corresponding to a first position on a map;determining, based on zone data associated with the specified set of coordinates, whether a first user has permission to register the given ranker on the ranker registry, the zone data identifying one or more permissions for one or more geo-partitions of a real-world environment;based on the determining whether the first user has permission, registering the given ranker on the ranker registry;receiving, from a second client device associated with a second user, a query for one or more augmented reality objects, the query comprising a current set of coordinates that corresponds to a second position of the second client device on the map; andin response to the query:determining an intermediate set of augmented reality objects based on the query from a plurality of rankers registered on the ranker registry, the intermediate set of augmented reality objects being determined from a plurality of registered augmented reality objects registered on an augmented reality object registry;determining a set of rankers for the query, at least one ranker in the set of rankers to filter a determined set of augmented reality objects;generating a final set of augmented reality objects by applying the set of rankers to the intermediate set of augmented reality objects; andsending a query result to the second client device, the query result comprising result data for the final set of augmented reality objects.
  • 18. The system of claim 17, wherein the at least one ranker is to further filter the intermediate set of augmented reality objects based on a set of priorities for the intermediate set of augmented reality objects.
  • 19. The system of claim 18, wherein the operations further comprise: requesting, from a bidding system, priority information for the intermediate set of augmented reality objects, the bidding system facilitating user bidding on priorities of augmented reality objects; andreceiving, from the bidding system, priority data that describes at least a subset of priorities in the set of priorities for the intermediate set of augmented reality objects.
  • 20. The system of claim 17, wherein the at least one ranker is to further filter the intermediate set of augmented reality objects based on a set of priorities for the intermediate set of augmented reality objects.
PRIORITY CLAIM

This application is a continuation of U.S. patent application Ser. No. 16/729,775, filed on Dec. 30, 2019, which is hereby incorporated by reference in its entirety.

US Referenced Citations (617)
Number Name Date Kind
666223 Shedlock Jan 1901 A
4581634 Williams Apr 1986 A
4975690 Torres Dec 1990 A
5072412 Henderson, Jr. et al. Dec 1991 A
5493692 Theimer et al. Feb 1996 A
5713073 Warsta Jan 1998 A
5754939 Herz et al. May 1998 A
5855008 Goldhaber et al. Dec 1998 A
5883639 Walton et al. Mar 1999 A
5999932 Paul Dec 1999 A
6012098 Bayeh et al. Jan 2000 A
6014090 Rosen et al. Jan 2000 A
6029141 Bezos et al. Feb 2000 A
6038295 Mattes Mar 2000 A
6049711 Yehezkel et al. Apr 2000 A
6154764 Nitta et al. Nov 2000 A
6167435 Druckenmiller et al. Dec 2000 A
6204840 Petelycky et al. Mar 2001 B1
6205432 Gabbard et al. Mar 2001 B1
6216141 Straub et al. Apr 2001 B1
6285381 Sawano et al. Sep 2001 B1
6285987 Roth et al. Sep 2001 B1
6310694 Okimoto et al. Oct 2001 B1
6317789 Rakavy et al. Nov 2001 B1
6334149 Davis, Jr. et al. Dec 2001 B1
6349203 Asaoka et al. Feb 2002 B1
6353170 Eyzaguirre et al. Mar 2002 B1
6446004 Cao et al. Sep 2002 B1
6449657 Stanbach et al. Sep 2002 B2
6456852 Bar et al. Sep 2002 B2
6484196 Maurille Nov 2002 B1
6487601 Hubacher et al. Nov 2002 B1
6523008 Avrunin Feb 2003 B1
6542749 Tanaka et al. Apr 2003 B2
6549768 Fraccaroli Apr 2003 B1
6618593 Drutman et al. Sep 2003 B1
6622174 Ukita et al. Sep 2003 B1
6631463 Floyd et al. Oct 2003 B1
6636247 Hamzy et al. Oct 2003 B1
6636855 Holloway et al. Oct 2003 B2
6643684 Malkin et al. Nov 2003 B1
6658095 Yoakum et al. Dec 2003 B1
6665531 Soderbacka et al. Dec 2003 B1
6668173 Greene Dec 2003 B2
6684238 Dutta Jan 2004 B1
6684257 Camut et al. Jan 2004 B1
6698020 Zigmond et al. Feb 2004 B1
6700506 Winkler Mar 2004 B1
6720860 Narayanaswami Apr 2004 B1
6724403 Santoro et al. Apr 2004 B1
6757713 Ogilvie et al. Jun 2004 B1
6832222 Zimowski Dec 2004 B1
6834195 Brandenberg et al. Dec 2004 B2
6836792 Chen Dec 2004 B1
6898626 Ohashi May 2005 B2
6959324 Kubik et al. Oct 2005 B1
6970088 Kovach Nov 2005 B2
6970907 Ullmann et al. Nov 2005 B1
6980909 Root et al. Dec 2005 B2
6981040 Konig et al. Dec 2005 B1
7020494 Spriestersbach et al. Mar 2006 B2
7027124 Foote et al. Apr 2006 B2
7072963 Anderson et al. Jul 2006 B2
7085571 Kalhan et al. Aug 2006 B2
7110744 Freeny, Jr. Sep 2006 B2
7124164 Chemtob Oct 2006 B1
7149893 Leonard et al. Dec 2006 B1
7173651 Knowles Feb 2007 B1
7188143 Szeto Mar 2007 B2
7203380 Chiu et al. Apr 2007 B2
7206568 Sudit Apr 2007 B2
7227937 Yoakum et al. Jun 2007 B1
7237002 Estrada et al. Jun 2007 B1
7240089 Boudreau Jul 2007 B2
7269426 Kokkonen et al. Sep 2007 B2
7280658 Amini et al. Oct 2007 B2
7315823 Brondrup Jan 2008 B2
7349768 Bruce et al. Mar 2008 B2
7356564 Hartselle et al. Apr 2008 B2
7394345 Ehlinger et al. Jul 2008 B1
7411493 Smith Aug 2008 B2
7423580 Markhovsky et al. Sep 2008 B2
7454442 Cobleigh et al. Nov 2008 B2
7508419 Toyama et al. Mar 2009 B2
7519670 Hagale et al. Apr 2009 B2
7535890 Rojas May 2009 B2
7546554 Chiu et al. Jun 2009 B2
7607096 Oreizy et al. Oct 2009 B2
7639943 Kalajan Dec 2009 B1
7650231 Gadler Jan 2010 B2
7668537 DeVries Feb 2010 B2
7770137 Forbes et al. Aug 2010 B2
7778973 Choi Aug 2010 B2
7779444 Glad Aug 2010 B2
7787886 Markhovsky et al. Aug 2010 B2
7796946 Eisenbach Sep 2010 B2
7801954 Cadiz et al. Sep 2010 B2
7856360 Kramer et al. Dec 2010 B2
8001204 Burtner et al. Aug 2011 B2
8032586 Challenger et al. Oct 2011 B2
8082255 Carlson, Jr. et al. Dec 2011 B1
8090351 Klein Jan 2012 B2
8098904 Ioffe et al. Jan 2012 B2
8099109 Altman et al. Jan 2012 B2
8112716 Kobayashi Feb 2012 B2
8131597 Hudetz Mar 2012 B2
8135166 Rhoads Mar 2012 B2
8136028 Loeb et al. Mar 2012 B1
8146001 Reese Mar 2012 B1
8161115 Yamamoto Apr 2012 B2
8161417 Lee Apr 2012 B1
8195203 Tseng Jun 2012 B1
8199747 Rojas et al. Jun 2012 B2
8208943 Petersen Jun 2012 B2
8214443 Hamburg Jul 2012 B2
8234350 Gu et al. Jul 2012 B1
8276092 Narayanan et al. Sep 2012 B1
8279319 Date Oct 2012 B2
8280406 Ziskind et al. Oct 2012 B2
8285199 Hsu et al. Oct 2012 B2
8287380 Nguyen et al. Oct 2012 B2
8301159 Hamynen et al. Oct 2012 B2
8306922 Kunal et al. Nov 2012 B1
8312086 Velusamy et al. Nov 2012 B2
8312097 Siegel et al. Nov 2012 B1
8326315 Phillips et al. Dec 2012 B2
8326327 Hymel et al. Dec 2012 B2
8332475 Rosen et al. Dec 2012 B2
8352546 Dollard Jan 2013 B1
8379130 Forutanpour et al. Feb 2013 B2
8385950 Wagner et al. Feb 2013 B1
8402097 Szeto Mar 2013 B2
8405773 Hayashi et al. Mar 2013 B2
8418067 Cheng et al. Apr 2013 B2
8423409 Rao Apr 2013 B2
8471914 Sakiyama et al. Jun 2013 B2
8472935 Fujisaki Jun 2013 B1
8510383 Hurley et al. Aug 2013 B2
8527345 Rothschild et al. Sep 2013 B2
8554627 Svendsen et al. Oct 2013 B2
8560612 Kilmer et al. Oct 2013 B2
8594680 Ledlie et al. Nov 2013 B2
8613089 Holloway et al. Dec 2013 B1
8660358 Bergboer et al. Feb 2014 B1
8660369 Llano et al. Feb 2014 B2
8660793 Ngo et al. Feb 2014 B2
8682350 Altman et al. Mar 2014 B2
8718333 Wolf et al. May 2014 B2
8724622 Rojas May 2014 B2
8732168 Johnson May 2014 B2
8744523 Fan et al. Jun 2014 B2
8745132 Obradovich Jun 2014 B2
8761800 Kuwahara Jun 2014 B2
8768876 Shim et al. Jul 2014 B2
8775972 Spiegel Jul 2014 B2
8788680 Naik Jul 2014 B1
8790187 Walker et al. Jul 2014 B2
8797415 Arnold Aug 2014 B2
8798646 Wang et al. Aug 2014 B1
8856349 Jain et al. Oct 2014 B2
8874677 Rosen et al. Oct 2014 B2
8886227 Schmidt et al. Nov 2014 B2
8909679 Root et al. Dec 2014 B2
8909725 Sehn Dec 2014 B1
8972357 Shim et al. Mar 2015 B2
8995433 Rojas Mar 2015 B2
9015285 Ebsen et al. Apr 2015 B1
9020745 Johnston et al. Apr 2015 B2
9040574 Wang et al. May 2015 B2
9055416 Rosen et al. Jun 2015 B2
9094137 Sehn et al. Jul 2015 B1
9100806 Rosen et al. Aug 2015 B2
9100807 Rosen et al. Aug 2015 B2
9113301 Spiegel et al. Aug 2015 B1
9119027 Sharon et al. Aug 2015 B2
9123074 Jacobs et al. Sep 2015 B2
9143382 Bhogal et al. Sep 2015 B2
9143681 Ebsen et al. Sep 2015 B1
9152477 Campbell et al. Oct 2015 B1
9191776 Root et al. Nov 2015 B2
9204252 Root Dec 2015 B2
9225897 Sehn et al. Dec 2015 B1
9258459 Hartley Feb 2016 B2
9344606 Hartley et al. May 2016 B2
9385983 Sehn Jul 2016 B1
9396354 Murphy et al. Jul 2016 B1
9407712 Sehn Aug 2016 B1
9407816 Sehn Aug 2016 B1
9430783 Sehn Aug 2016 B1
9439041 Parvizi et al. Sep 2016 B2
9443227 Evans et al. Sep 2016 B2
9450907 Pridmore et al. Sep 2016 B2
9459778 Hogeg et al. Oct 2016 B2
9489661 Evans et al. Nov 2016 B2
9491134 Rosen et al. Nov 2016 B2
9532171 Allen et al. Dec 2016 B2
9537811 Allen et al. Jan 2017 B2
9628950 Noeth et al. Apr 2017 B1
9710821 Heath Jul 2017 B2
9854219 Sehn Dec 2017 B2
10105601 Hariton Oct 2018 B1
10698562 Zhou et al. Jun 2020 B1
10789474 Li et al. Sep 2020 B2
11343323 Pounds et al. May 2022 B2
11429618 Pounds et al. Aug 2022 B2
20020047868 Miyazawa Apr 2002 A1
20020078456 Hudson et al. Jun 2002 A1
20020087631 Sharma Jul 2002 A1
20020097257 Miller et al. Jul 2002 A1
20020122659 Mcgrath et al. Sep 2002 A1
20020128047 Gates Sep 2002 A1
20020144154 Tomkow Oct 2002 A1
20030001846 Davis et al. Jan 2003 A1
20030016247 Lai et al. Jan 2003 A1
20030017823 Mager et al. Jan 2003 A1
20030020623 Cao et al. Jan 2003 A1
20030023874 Prokupets et al. Jan 2003 A1
20030037124 Yamaura et al. Feb 2003 A1
20030052925 Daimon et al. Mar 2003 A1
20030101230 Benschoter et al. May 2003 A1
20030110503 Perkes Jun 2003 A1
20030126215 Udell Jul 2003 A1
20030148773 Spriestersbach et al. Aug 2003 A1
20030164856 Prager et al. Sep 2003 A1
20030229607 Zellweger et al. Dec 2003 A1
20040027371 Jaeger Feb 2004 A1
20040064429 Hirstius et al. Apr 2004 A1
20040078367 Anderson et al. Apr 2004 A1
20040111467 Willis Jun 2004 A1
20040158739 Wakai et al. Aug 2004 A1
20040189465 Capobianco et al. Sep 2004 A1
20040203959 Coombes Oct 2004 A1
20040215625 Svendsen et al. Oct 2004 A1
20040243531 Dean Dec 2004 A1
20040243688 Wugofski Dec 2004 A1
20050021444 Bauer et al. Jan 2005 A1
20050022211 Veselov et al. Jan 2005 A1
20050048989 Jung Mar 2005 A1
20050078804 Yomoda Apr 2005 A1
20050097176 Schatz et al. May 2005 A1
20050102381 Jiang et al. May 2005 A1
20050104976 Currans May 2005 A1
20050114783 Szeto May 2005 A1
20050119936 Buchanan et al. Jun 2005 A1
20050122405 Voss et al. Jun 2005 A1
20050193340 Amburgey et al. Sep 2005 A1
20050193345 Klassen et al. Sep 2005 A1
20050198128 Anderson Sep 2005 A1
20050223066 Buchheit et al. Oct 2005 A1
20050288954 McCarthy et al. Dec 2005 A1
20060026067 Nicholas et al. Feb 2006 A1
20060107297 Toyama et al. May 2006 A1
20060114338 Rothschild Jun 2006 A1
20060119882 Harris et al. Jun 2006 A1
20060242239 Morishima et al. Oct 2006 A1
20060252438 Ansamaa et al. Nov 2006 A1
20060265417 Amato et al. Nov 2006 A1
20060270419 Crowley et al. Nov 2006 A1
20060287878 Wadhwa et al. Dec 2006 A1
20070004426 Pfleging et al. Jan 2007 A1
20070038715 Collins et al. Feb 2007 A1
20070040931 Nishizawa Feb 2007 A1
20070073517 Panje Mar 2007 A1
20070073823 Cohen et al. Mar 2007 A1
20070075898 Markhovsky et al. Apr 2007 A1
20070082707 Flynt et al. Apr 2007 A1
20070136228 Petersen Jun 2007 A1
20070192128 Celestini Aug 2007 A1
20070198340 Lucovsky et al. Aug 2007 A1
20070198495 Buron et al. Aug 2007 A1
20070208751 Cowan et al. Sep 2007 A1
20070210936 Nicholson Sep 2007 A1
20070214180 Crawford Sep 2007 A1
20070214216 Carrer et al. Sep 2007 A1
20070233556 Koningstein Oct 2007 A1
20070233801 Eren et al. Oct 2007 A1
20070233859 Zhao et al. Oct 2007 A1
20070243887 Bandhole et al. Oct 2007 A1
20070244750 Grannan et al. Oct 2007 A1
20070255456 Funayama Nov 2007 A1
20070281690 Altman et al. Dec 2007 A1
20080022329 Glad Jan 2008 A1
20080025701 Ikeda Jan 2008 A1
20080032703 Krumm et al. Feb 2008 A1
20080033930 Warren Feb 2008 A1
20080043041 Hedenstroem et al. Feb 2008 A2
20080049704 Witteman et al. Feb 2008 A1
20080062141 Chandhri Mar 2008 A1
20080076505 Ngyen et al. Mar 2008 A1
20080092233 Tian et al. Apr 2008 A1
20080094387 Chen Apr 2008 A1
20080104503 Beall et al. May 2008 A1
20080109844 Baldeschweiler et al. May 2008 A1
20080120409 Sun et al. May 2008 A1
20080147730 Lee et al. Jun 2008 A1
20080148150 Mall Jun 2008 A1
20080158230 Sharma et al. Jul 2008 A1
20080168033 Ott et al. Jul 2008 A1
20080168489 Schraga Jul 2008 A1
20080189177 Anderton et al. Aug 2008 A1
20080207176 Brackbill et al. Aug 2008 A1
20080208692 Garaventi et al. Aug 2008 A1
20080214210 Rasanen et al. Sep 2008 A1
20080222545 Lemay Sep 2008 A1
20080255976 Altberg et al. Oct 2008 A1
20080256446 Yamamoto Oct 2008 A1
20080256577 Funaki et al. Oct 2008 A1
20080266421 Takahata et al. Oct 2008 A1
20080270938 Carlson Oct 2008 A1
20080288338 Wiseman et al. Nov 2008 A1
20080306826 Kramer et al. Dec 2008 A1
20080313329 Wang et al. Dec 2008 A1
20080313346 Kujawa et al. Dec 2008 A1
20080318616 Chipalkatti et al. Dec 2008 A1
20090006191 Arankalle et al. Jan 2009 A1
20090006565 Velusamy et al. Jan 2009 A1
20090015703 Kim et al. Jan 2009 A1
20090024956 Kobayashi Jan 2009 A1
20090030774 Rothschild et al. Jan 2009 A1
20090030999 Gatzke et al. Jan 2009 A1
20090040324 Nonaka Feb 2009 A1
20090042588 Lottin et al. Feb 2009 A1
20090058822 Chaudhri Mar 2009 A1
20090061901 Arrasvuori et al. Mar 2009 A1
20090079846 Chou Mar 2009 A1
20090089678 Sacco et al. Apr 2009 A1
20090089710 Wood et al. Apr 2009 A1
20090093261 Ziskind Apr 2009 A1
20090132341 Klinger May 2009 A1
20090132453 Hangartner et al. May 2009 A1
20090132665 Thomsen et al. May 2009 A1
20090148045 Lee et al. Jun 2009 A1
20090153492 Popp Jun 2009 A1
20090157450 Athsani et al. Jun 2009 A1
20090157752 Gonzalez Jun 2009 A1
20090160970 Fredlund et al. Jun 2009 A1
20090163182 Gatti et al. Jun 2009 A1
20090177299 Van De Sluis Jul 2009 A1
20090192900 Collision Jul 2009 A1
20090199242 Johnson et al. Aug 2009 A1
20090215469 Fisher et al. Aug 2009 A1
20090232354 Camp, Jr. et al. Sep 2009 A1
20090234815 Boerries et al. Sep 2009 A1
20090239552 Churchill et al. Sep 2009 A1
20090249222 Schmidt et al. Oct 2009 A1
20090249244 Robinson et al. Oct 2009 A1
20090265647 Martin et al. Oct 2009 A1
20090288022 Almstrand et al. Nov 2009 A1
20090291672 Treves et al. Nov 2009 A1
20090292608 Polachek Nov 2009 A1
20090319607 Belz et al. Dec 2009 A1
20090327073 Li Dec 2009 A1
20100062794 Han Mar 2010 A1
20100082427 Burgener et al. Apr 2010 A1
20100082693 Hugg et al. Apr 2010 A1
20100100568 Papin et al. Apr 2010 A1
20100113065 Narayan et al. May 2010 A1
20100130233 Parker May 2010 A1
20100131880 Lee et al. May 2010 A1
20100131895 Wohlert May 2010 A1
20100153144 Miller et al. Jun 2010 A1
20100159944 Pascal et al. Jun 2010 A1
20100161658 Hamynen et al. Jun 2010 A1
20100161831 Haas et al. Jun 2010 A1
20100162149 Sheleheda et al. Jun 2010 A1
20100183280 Beauregard et al. Jul 2010 A1
20100185552 Deluca et al. Jul 2010 A1
20100185665 Horn et al. Jul 2010 A1
20100191631 Weidmann Jul 2010 A1
20100197318 Petersen et al. Aug 2010 A1
20100197319 Petersen et al. Aug 2010 A1
20100198683 Aarabi Aug 2010 A1
20100198694 Muthukrishnan Aug 2010 A1
20100198826 Petersen et al. Aug 2010 A1
20100198828 Petersen et al. Aug 2010 A1
20100198862 Jennings et al. Aug 2010 A1
20100198870 Petersen et al. Aug 2010 A1
20100198917 Petersen et al. Aug 2010 A1
20100201482 Robertson et al. Aug 2010 A1
20100201536 Robertson et al. Aug 2010 A1
20100214436 Kim et al. Aug 2010 A1
20100223128 Dukellis et al. Sep 2010 A1
20100223343 Bosan et al. Sep 2010 A1
20100250109 Johnston et al. Sep 2010 A1
20100257196 Waters et al. Oct 2010 A1
20100259386 Holley et al. Oct 2010 A1
20100273509 Sweeney et al. Oct 2010 A1
20100281045 Dean Nov 2010 A1
20100306669 Della Pasqua Dec 2010 A1
20110004071 Faiola et al. Jan 2011 A1
20110010205 Richards Jan 2011 A1
20110029512 Folgner et al. Feb 2011 A1
20110040783 Uemichi et al. Feb 2011 A1
20110040804 Peirce et al. Feb 2011 A1
20110050909 Ellenby et al. Mar 2011 A1
20110050915 Wang et al. Mar 2011 A1
20110064388 Brown et al. Mar 2011 A1
20110066743 Hurley et al. Mar 2011 A1
20110083101 Sharon et al. Apr 2011 A1
20110102630 Rukes May 2011 A1
20110119133 Igelman et al. May 2011 A1
20110137881 Cheng et al. Jun 2011 A1
20110145564 Moshir et al. Jun 2011 A1
20110159890 Fortescue et al. Jun 2011 A1
20110164163 Bilbrey et al. Jul 2011 A1
20110197194 D'Angelo et al. Aug 2011 A1
20110202598 Evans et al. Aug 2011 A1
20110202968 Nurmi Aug 2011 A1
20110211534 Schmidt et al. Sep 2011 A1
20110213845 Logan et al. Sep 2011 A1
20110215966 Kim et al. Sep 2011 A1
20110225048 Nair Sep 2011 A1
20110238763 Shin et al. Sep 2011 A1
20110255736 Thompson et al. Oct 2011 A1
20110273575 Lee Nov 2011 A1
20110282799 Huston Nov 2011 A1
20110283188 Farrenkopf Nov 2011 A1
20110314419 Dunn et al. Dec 2011 A1
20110320373 Lee et al. Dec 2011 A1
20120028659 Whitney et al. Feb 2012 A1
20120033718 Kauffman et al. Feb 2012 A1
20120036015 Sheikh Feb 2012 A1
20120036443 Ohmori et al. Feb 2012 A1
20120054797 Skog et al. Mar 2012 A1
20120059722 Rao Mar 2012 A1
20120062805 Candelore Mar 2012 A1
20120084731 Filman et al. Apr 2012 A1
20120084835 Thomas et al. Apr 2012 A1
20120099800 Llano et al. Apr 2012 A1
20120108293 Law et al. May 2012 A1
20120110096 Smarr et al. May 2012 A1
20120113143 Adhikari et al. May 2012 A1
20120113272 Hata May 2012 A1
20120123830 Svendsen et al. May 2012 A1
20120123871 Svendsen et al. May 2012 A1
20120123875 Svendsen et al. May 2012 A1
20120124126 Alcazar et al. May 2012 A1
20120124176 Curtis et al. May 2012 A1
20120124458 Cruzada May 2012 A1
20120131507 Sparandara et al. May 2012 A1
20120131512 Takeuchi et al. May 2012 A1
20120143760 Abulafia et al. Jun 2012 A1
20120150978 Monaco Jun 2012 A1
20120165100 Lalancette et al. Jun 2012 A1
20120166971 Sachson et al. Jun 2012 A1
20120169855 Oh Jul 2012 A1
20120172062 Altman et al. Jul 2012 A1
20120173991 Roberts et al. Jul 2012 A1
20120176401 Hayward et al. Jul 2012 A1
20120184248 Speede Jul 2012 A1
20120197724 Kendall Aug 2012 A1
20120200743 Blanchflower et al. Aug 2012 A1
20120209924 Evans et al. Aug 2012 A1
20120210244 De Francisco Lopez et al. Aug 2012 A1
20120212632 Mate et al. Aug 2012 A1
20120220264 Kawabata Aug 2012 A1
20120226748 Bosworth et al. Sep 2012 A1
20120233000 Fisher et al. Sep 2012 A1
20120236162 Imamura Sep 2012 A1
20120239761 Linner et al. Sep 2012 A1
20120250951 Chen Oct 2012 A1
20120252418 Kandekar et al. Oct 2012 A1
20120254325 Majeti et al. Oct 2012 A1
20120278387 Garcia et al. Nov 2012 A1
20120278692 Shi Nov 2012 A1
20120290637 Perantatos et al. Nov 2012 A1
20120299954 Wada et al. Nov 2012 A1
20120304052 Tanaka et al. Nov 2012 A1
20120304080 Wormald et al. Nov 2012 A1
20120307096 Ford et al. Dec 2012 A1
20120307112 Kunishige et al. Dec 2012 A1
20120319904 Lee et al. Dec 2012 A1
20120323933 He et al. Dec 2012 A1
20120324018 Metcalf et al. Dec 2012 A1
20130006759 Srivastava et al. Jan 2013 A1
20130024757 Doll et al. Jan 2013 A1
20130036364 Johnson Feb 2013 A1
20130045753 Obermeyer et al. Feb 2013 A1
20130050260 Reitan Feb 2013 A1
20130055083 Fino Feb 2013 A1
20130057587 Leonard et al. Mar 2013 A1
20130059607 Herz et al. Mar 2013 A1
20130060690 Oskolkov et al. Mar 2013 A1
20130063369 Malhotra et al. Mar 2013 A1
20130067027 Song et al. Mar 2013 A1
20130071093 Hanks et al. Mar 2013 A1
20130080254 Thramann Mar 2013 A1
20130085790 Palmer et al. Apr 2013 A1
20130086072 Peng et al. Apr 2013 A1
20130090171 Holton et al. Apr 2013 A1
20130095857 Garcia et al. Apr 2013 A1
20130104053 Thornton et al. Apr 2013 A1
20130110885 Brundrett, III May 2013 A1
20130111514 Slavin et al. May 2013 A1
20130128059 Kristensson May 2013 A1
20130129252 Lauper May 2013 A1
20130132477 Bosworth et al. May 2013 A1
20130145286 Feng et al. Jun 2013 A1
20130159110 Rajaram et al. Jun 2013 A1
20130159919 Leydon Jun 2013 A1
20130169822 Zhu et al. Jul 2013 A1
20130173729 Starenky et al. Jul 2013 A1
20130178257 Langseth Jul 2013 A1
20130182133 Tanabe Jul 2013 A1
20130185131 Sinha et al. Jul 2013 A1
20130191198 Carlson et al. Jul 2013 A1
20130194301 Robbins et al. Aug 2013 A1
20130198176 Kim Aug 2013 A1
20130218965 Abrol et al. Aug 2013 A1
20130218968 Mcevilly et al. Aug 2013 A1
20130222323 Mckenzie Aug 2013 A1
20130227476 Frey Aug 2013 A1
20130232194 Knapp et al. Sep 2013 A1
20130263031 Oshiro et al. Oct 2013 A1
20130265450 Barnes, Jr. Oct 2013 A1
20130267253 Case et al. Oct 2013 A1
20130275505 Gauglitz et al. Oct 2013 A1
20130290443 Collins et al. Oct 2013 A1
20130304646 De Geer Nov 2013 A1
20130311255 Cummins et al. Nov 2013 A1
20130325964 Berberat Dec 2013 A1
20130344896 Kirmse et al. Dec 2013 A1
20130346869 Asver et al. Dec 2013 A1
20130346877 Borovoy et al. Dec 2013 A1
20140006129 Heath Jan 2014 A1
20140011538 Mulcahy et al. Jan 2014 A1
20140019264 Wachman et al. Jan 2014 A1
20140032682 Prado et al. Jan 2014 A1
20140043204 Basnayake et al. Feb 2014 A1
20140045530 Gordon et al. Feb 2014 A1
20140047016 Rao Feb 2014 A1
20140047045 Baldwin et al. Feb 2014 A1
20140047335 Lewis et al. Feb 2014 A1
20140049652 Moon et al. Feb 2014 A1
20140052485 Shidfar Feb 2014 A1
20140052633 Gandhi Feb 2014 A1
20140057660 Wager Feb 2014 A1
20140082651 Sharifi Mar 2014 A1
20140092130 Anderson et al. Apr 2014 A1
20140096029 Schultz Apr 2014 A1
20140114565 Aziz et al. Apr 2014 A1
20140122658 Haeger et al. May 2014 A1
20140122787 Shalvi et al. May 2014 A1
20140128161 Latta et al. May 2014 A1
20140129953 Spiegel May 2014 A1
20140143143 Fasoli et al. May 2014 A1
20140149519 Redfern et al. May 2014 A1
20140155102 Cooper et al. Jun 2014 A1
20140173424 Hogeg et al. Jun 2014 A1
20140173457 Wang et al. Jun 2014 A1
20140189592 Benchenaa et al. Jul 2014 A1
20140207679 Cho Jul 2014 A1
20140214471 Schreiner, III Jul 2014 A1
20140222564 Kranendonk et al. Aug 2014 A1
20140254934 Laxminarayana Bhat et al. Sep 2014 A1
20140258405 Perkin Sep 2014 A1
20140265359 Cheng et al. Sep 2014 A1
20140266703 Dalley, Jr. et al. Sep 2014 A1
20140279061 Elimeliah et al. Sep 2014 A1
20140279436 Dorsey et al. Sep 2014 A1
20140279540 Jackson Sep 2014 A1
20140280537 Pridmore et al. Sep 2014 A1
20140282096 Rubinstein et al. Sep 2014 A1
20140287779 O'keefe et al. Sep 2014 A1
20140289833 Briceno Sep 2014 A1
20140306986 Gottesman et al. Oct 2014 A1
20140317302 Naik Oct 2014 A1
20140324627 Haver et al. Oct 2014 A1
20140324629 Jacobs Oct 2014 A1
20140325383 Brown et al. Oct 2014 A1
20150020086 Chen et al. Jan 2015 A1
20150032838 Demsey Jan 2015 A1
20150046278 Pei et al. Feb 2015 A1
20150071619 Brough Mar 2015 A1
20150087263 Branscomb et al. Mar 2015 A1
20150088622 Ganschow et al. Mar 2015 A1
20150095020 Leydon Apr 2015 A1
20150096042 Mizrachi Apr 2015 A1
20150116529 Wu et al. Apr 2015 A1
20150169827 Laborde Jun 2015 A1
20150172534 Miyakawa et al. Jun 2015 A1
20150178260 Brunson Jun 2015 A1
20150178990 Ng-thow-hing et al. Jun 2015 A1
20150222814 Li et al. Aug 2015 A1
20150261917 Smith Sep 2015 A1
20150312184 Langholz et al. Oct 2015 A1
20150350136 Flynn, III et al. Dec 2015 A1
20150365795 Allen et al. Dec 2015 A1
20150378502 Hu et al. Dec 2015 A1
20160006927 Sehn Jan 2016 A1
20160014063 Hogeg et al. Jan 2016 A1
20160085773 Chang et al. Mar 2016 A1
20160085863 Allen et al. Mar 2016 A1
20160099901 Allen et al. Apr 2016 A1
20160180887 Sehn Jun 2016 A1
20160182422 Sehn et al. Jun 2016 A1
20160182875 Sehn Jun 2016 A1
20160239248 Sehn Aug 2016 A1
20160277419 Allen et al. Sep 2016 A1
20160321708 Sehn Nov 2016 A1
20160335289 Andrews Nov 2016 A1
20170006094 Abou Mahmoud et al. Jan 2017 A1
20170053621 Chen et al. Feb 2017 A1
20170061308 Chen et al. Mar 2017 A1
20170270713 Dooley et al. Sep 2017 A1
20170287006 Azmoodeh et al. Oct 2017 A1
20180350144 Rathod Dec 2018 A1
20190126149 Hariton May 2019 A1
20190244436 Stansell et al. Aug 2019 A1
20190354699 Pekelny et al. Nov 2019 A1
20190371067 Simari et al. Dec 2019 A1
20200067998 Pilnock et al. Feb 2020 A1
20200128106 Mccormack et al. Apr 2020 A1
20200409161 Cui et al. Dec 2020 A1
20210200776 Pounds et al. Jul 2021 A1
20210203727 Pounds et al. Jul 2021 A1
20220279043 Pounds et al. Sep 2022 A1
Foreign Referenced Citations (38)
Number Date Country
2887596 Jul 2015 CA
114902208 Aug 2022 CN
114902211 Aug 2022 CN
2051480 Apr 2009 EP
2151797 Feb 2010 EP
3388929 Oct 2018 EP
2399928 Sep 2004 GB
19990073076 Oct 1999 KR
20010078417 Aug 2001 KR
WO-1996024213 Aug 1996 WO
WO-1999063453 Dec 1999 WO
WO-2000058882 Oct 2000 WO
WO-2001029642 Apr 2001 WO
WO-2001050703 Jul 2001 WO
WO-2006118755 Nov 2006 WO
WO-2007092668 Aug 2007 WO
WO-2009043020 Apr 2009 WO
WO-2011040821 Apr 2011 WO
WO-2011119407 Sep 2011 WO
WO-2013008238 Jan 2013 WO
WO-2013045753 Apr 2013 WO
WO-2014006129 Jan 2014 WO
WO-2014068573 May 2014 WO
WO-2014115136 Jul 2014 WO
WO-2014194262 Dec 2014 WO
WO-2015192026 Dec 2015 WO
WO-2016044424 Mar 2016 WO
WO-2016054562 Apr 2016 WO
WO-2016065131 Apr 2016 WO
WO-2016100318 Jun 2016 WO
WO-2016100318 Jun 2016 WO
WO-2016100342 Jun 2016 WO
WO-2016149594 Sep 2016 WO
WO-2016179166 Nov 2016 WO
2021138161 Jul 2021 WO
2021138225 Jul 2021 WO
WO-2021138161 Jul 2021 WO
WO-2021138225 Jul 2021 WO
Non-Patent Literature Citations (45)
Entry
“A Whole New Story”, Snap, Inc., [Online] Retrieved from the Internet: <URL: https://www.snap.com/en-US/news/>, (2017), 13 pgs.
“Adding photos to your listing”, eBay, [Online] Retrieved from the Internet: <URL: http://pages.ebay.com/help/sell/pictures.html>, (accessed May 24, 2017), 4 pgs.
“U.S. Appl. No. 16/729,775, Advisory Action dated Oct. 21, 2021”, 3 pgs.
“U.S. Appl. No. 16/729,775, Examiner Interview Summary dated Jul. 26, 2021”, 2 pgs.
“U.S. Appl. No. 16/729,775, Final Office Action dated Aug. 9, 2021”, 23 pgs.
“U.S. Appl. No. 16/729,775, Non Final Office Action dated Jan. 7, 2022”, 25 pgs.
“U.S. Appl. No. 16/729,775, Non Final Office Action dated Apr. 21, 2021”, 20 pgs.
“U.S. Appl. No. 16/729,775, Notice of Allowance dated Apr. 25, 2022”, 8 pgs.
“U.S. Appl. No. 16/729,775, Response filed Apr. 7, 2022 to Non Final Office Action dated Jan. 7, 2022”, 12 pgs.
“U.S. Appl. No. 16/729,775, Response filed Jul. 21, 2021 to Non Final Office Action dated Apr. 21, 2021”, 11 pgs.
“U.S. Appl. No. 16/729,775, Response filed Oct. 12, 2021 to Final Office Action dated Aug. 9, 2021”, 12 pgs.
“U.S. Appl. No. 16/731,821, Examiner Interview Summary dated Nov. 17, 2021”, 2 pgs.
“U.S. Appl. No. 16/731,821, Non Final Office Action dated Aug. 10, 2021”, 13 pgs.
“U.S. Appl. No. 16/731,821, Notice of Allowance dated Jan. 26, 2022”, 9 pgs.
“U.S. Appl. No. 16/731,821, Notice of Allowance dated Mar. 26, 2021”, 8 pgs.
“U.S. Appl. No. 16/731,821, Response filed Nov. 8, 2021 to Non Final Office Action dated Aug. 10, 2021”, 11 pgs.
“BlogStomp”, StompSoftware, [Online] Retrieved from the Internet: <URL: http://stompsoftware.com/blogstomp>, (accessed May 24, 2017), 12 pgs.
“Cup Magic Starbucks Holiday Red Cups come to life with AR app”, Blast Radius, [Online] Retrieved from the Internet: <URL: https://web.archive.org/web/20160711202454/http://www.blastradius.com/work/cup-magic>, (2016), 7 pgs.
“Daily App: InstaPlace (iOS/Android): Give Pictures a Sense of Place”, TechPP, [Online] Retrieved from the Internet: <URL: http://techpp.com/2013/02/15/instaplace-app-review>, (2013), 13 pgs.
“InstaPlace Photo App Tell The Whole Story”, [Online] Retrieved from the Internet: <URL: youtu.be/uF_gFkg1hBM>, (Nov. 8, 2013), 113 pgs., 1:02 min.
“International Application Serial No. PCT/US2015/037251, International Search Report dated Sep. 29, 2015”, 2 pgs.
“International Application Serial No. PCT/US2020/066695, International Search Report dated Mar. 30, 2021”, 5 pgs.
“International Application Serial No. PCT/US2020/066695, Written Opinion dated Mar. 30, 2021”, 7 pgs.
“International Application Serial No. PCT/US2020/067087, International Search Report dated Apr. 8, 2021”, 4 pgs.
“International Application Serial No. PCT/US2020/067087, Written Opinion dated Apr. 8, 2021”.
“Introducing Snapchat Stories”, [Online] Retrieved from the Internet: <URL: https://web.archive.org/web/20131026084921/https://www.youtube.com/watch?v=88Cu3yN-LIM>, (Oct. 3, 2013), 92 pgs.; 00:47 min.
“Macy's Believe-o-Magic”, [Online] Retrieved from the Internet: <URL: https://web.archive.org/web/20190422101854/https://www.youtube.com/watch?v=xvzRXy3J0Z0&feature=youtu.be>, (Nov. 7, 2011), 102 pgs.; 00:51 min.
“Macy's Introduces Augmented Reality Experience in Stores across Country as Part of Its 2011 Believe Campaign”, Business Wire, [Online] Retrieved from the Internet: <URL: https://www.businesswire.com/news/home/20111102006759/en/Macys-Introduces-Augmented-Reality-Experience-Stores-Country>, (Nov. 2, 2011), 6 pgs.
“Starbucks Cup Magic”, [Online] Retrieved from the Internet: <URL: https://www.youtube.com/watch?v=RWwQXi9RGOw>, (Nov. 8, 2011), 87 pgs.; 00:47 min.
“Starbucks Cup Magic for Valentine's Day”, [Online] Retrieved from the Internet: <URL: https://www.youtube.com/watch?v=8nvqOzjq10w>, (Feb. 6, 2012), 88 pgs.; 00:45 min.
“Starbucks Holiday Red Cups Come to Life, Signaling the Return of the Merriest Season”, Business Wire, [Online] Retrieved from the Internet: <URL: http://www.businesswire.com/news/home/20111115005744/en/2479513/Starbucks-Holiday-Red-Cups-Life-Signaling-Return>, (Nov. 15, 2011), 5 pgs.
Carthy, Roi, “Dear All Photo Apps: Mobli Just Won Filters”, TechCrunch, [Online] Retrieved from the Internet: <URL: https://techcrunch.com/2011/09/08/mobli-filters>, (Sep. 8, 2011), 10 pgs.
Janthong, Isaranu, “Instaplace ready on Android Google Play store”, Android App Review Thailand, [Online] Retrieved from the Internet: <URL: http://www.android-free-app-review.com/2013/01/instaplace-android-google-play-store.html>, (Jan. 23, 2013), 9 pgs.
Macleod, Duncan, “Macys Believe-o-Magic App”, [Online] Retrieved from the Internet: <URL: http://theinspirationroom.com/daily/2011/macys-believe-o-magic-app>, (Nov. 14, 2011), 10 pgs.
Macleod, Duncan, “Starbucks Cup Magic Lets Merry”, [Online] Retrieved from the Internet: <URL: http://theinspirationroom.com/daily/2011/starbucks-cup-magic>, (Nov. 12, 2011), 8 pgs.
Notopoulos, Katie, “A Guide To The New Snapchat Filters And Big Fonts”, [Online] Retrieved from the Internet: <URL: https://www.buzzfeed.com/katienotopoulos/a-guide-to-the-new-snapchat-filters-and-big-fonts ?utm_term =. bkQ9qVZWe#.nv58YXpkV>, (Dec. 22, 2013), 13 pgs.
Panzarino, Matthew, “Snapchat Adds Filters, A Replay Function And For Whatever Reason, Time, Temperature And Speed Overlays”, TechCrunch, [Online] Retrieved form the Internet: <URL: https://techcrunch.com/2013/12/20/snapchat-adds-filters-new-font-and-for-some-reason-time-temperature-and-speed-overlays/>, (Dec. 20, 2013), 12 pgs.
Tripathi, Rohit, “Watermark Images in PHP And Save File on Server”, [Online] Retrieved from the Internet: <URL: http://code.rohitink.com/2012/12/28/watermark-images-in-php-and-save-file-on-server>, (Dec. 28, 2012), 4 pgs.
“International Application Serial No. PCT/US2020/066695, International Preliminary Report on Patentability dated Jul. 14, 2022”, 9 pgs.
“International Application Serial No. PCT/US2020/067087, International Preliminary Report on Patentability dated Jul. 14, 2022”, 9 pgs.
“U.S. Appl. No. 17/664,377, Notice of Allowance dated Oct. 19, 2023”, 9 pgs.
“European Application Serial No. 20841833.5, Response Filed Feb. 9, 2023 to Communication pursuant to Rules 161(1) and 162 EPC dated Aug. 9, 2022”, 20 pgs.
“European Application Serial No. 20845732.5, Response filed Feb. 9, 2023 to Communication pursuant to Rules 161(1) and 162 EPC dated Aug. 9, 2022”, 20 pgs.
“U.S. Appl. No. 17/664,377, Non Final Office Action dated Jul. 20, 2023”, 10 pgs.
“U.S. Appl. No. 17/664,377, Response filed Sep. 5, 2023 to Non Final Office Action dated Jul. 20, 2023”, 9 pgs.
Related Publications (1)
Number Date Country
20230104981 A1 Apr 2023 US
Continuations (1)
Number Date Country
Parent 16729775 Dec 2019 US
Child 17878716 US