Patent Grant
12175613
The present disclosure relates generally to visual presentations and more particularly to rendering virtual objects within a real-world environment captured in a camera feed of a computing device.
Augmented reality (AR) refers to supplementing the view of real-world objects and environments with computer-generated graphics content. Virtual rendering systems can be used to create, view, and interact with engaging and entertaining AR experiences, in which 3D virtual object graphics content appears to be present in the real world. Virtual rendering systems are frequently implemented within mobile devices such as smartphones and tablets.
In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. 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. Some embodiments are illustrated by way of example, and not limitation, in the figures of the accompanying drawings in which:
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.
Traditional virtual rendering systems can be subject to presentation problems due to environmental conditions, user actions, unanticipated visual interruption between a camera and the object being rendered, and the like. This can cause a virtual object to disappear or otherwise behave erratically, which breaks the illusion of the virtual objects being present in the real world. For example, a virtual rendering system may not present virtual objects in a consistent manner with respect to real-world items as a user moves about through the real world.
Additionally, conventional virtual rendering systems are often lacking in functionality related to authoring AR content because these conventional systems are not optimized for the limited display size of mobile computing devices. As an example, conventional virtual rendering systems are often limited to predefined 3D virtual objects and do not provide users with the ability to create or edit these virtual objects. As another example, user interfaces of conventional virtual rendering systems often require users to navigate between various views or windows to access certain content-authoring functions. These systems usually provide buttons or other interactive elements to facilitate navigation between views and windows, but the buttons and other interactive elements often utilize much of the available display space, which may obscure AR content being authored or require a user to navigate to yet another window or view to inspect the AR content being authored. As a result, the AR content authoring process provided by conventional virtual rendering systems may be a time-consuming and tedious process that requires users to repeatedly shuffle through various views and windows to ultimately produce content that may not meet the user's expectations.
Aspects of the present disclosure include systems, methods, techniques, instruction sequences, and computing machine program products for creating virtual three-dimensional (3D) objects, such as a 3D caption, and rendering the virtual 3D objects within a camera feed, as if they exist in real-world environments. For example, media overlays of 3D captions can be generated by the system and displayed in conjunction with real-world environment content (e.g., images and/or video) generated by an image-capturing device (e.g., a digital camera). 3D captions include one or more text characters (e.g., letters, symbols, and/or emojis). Users may use the 3D captioning functionality described herein to augment image data (e.g., images and/or video) to describe, comment on, or provide additional meaning or context to the real-world environment content. The system includes user interfaces to automatically add 3D captions to an image or video based on context, such as time of day, day of the week, location and/or one or more words input by a user. The system includes user interfaces to automatically augment the 3D captions a user inputs with one or more graphical elements, such as emojis, that represent the content of the 3D caption.
In these ways, these user interfaces improve upon interfaces of prior systems and improve the operation of a device by providing greater functionality and enhanced mechanisms for interaction such as by providing a preview of 3D captions that are in progress as they will be rendered within real-world environments, which allows users to make any desired modification before committing. Given these improvements, the system may be particularly suitable in mobile device implementations in which a display screen size is limited.
Accordingly, each messaging client application 104 can communicate and exchange data with another messaging client application 104 and with the messaging server system 108 via the network 106. The data exchanged between messaging client applications 104, and between a messaging client application 104 and the messaging server system 108, includes functions (e.g., commands to invoke functions) as well as payload data (e.g., text, audio, video, or other multimedia data).
The messaging server system 108 provides server-side functionality via the network 106 to a particular messaging client application 104. While certain functions of the messaging system 100 are described herein as being performed by either a messaging client application 104 or by the messaging server system 108, it will be appreciated that the location of certain functionality either within the messaging client application 104 or the messaging server system 108 is a design choice. For example, it may be technically preferable to initially deploy certain technology and functionality within the messaging server system 108, but to later migrate this technology and functionality to the messaging client application 104 where a client device 102 has a sufficient processing capacity.
The messaging server system 108 supports various services and operations that are provided to the messaging client application 104. Such operations include transmitting data to, receiving data from, and processing data generated by the messaging client application 104. This data may include message content, 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 messaging system 100 are invoked and controlled through functions available via user interfaces (UIs) of the messaging client application 104.
Turning now specifically to the messaging 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 messages processed by the application server 112.
Dealing specifically with the 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 messaging 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 account registration, login functionality, the sending of messages, via the application server 112, from a particular messaging client application 104 to another messaging client application 104, the sending of media files (e.g., images or video) from a messaging client application 104 to the messaging server application 114, and for possible access by another messaging client application 104, the setting of a collection of media data (e.g., story), the retrieval of such collections, the retrieval of a list of friends of a user of a client device 102, the retrieval of messages and content, the adding and deleting of friends to a social graph, the location of friends within a social graph, opening an application event (e.g., relating to the messaging client application 104).
The application server 112 hosts a number of applications and subsystems, including a messaging server application 114, an image processing 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 content (e.g., textual and multimedia content) included in messages received from multiple instances of the messaging client application 104. As will be described in further detail, the text and media content from multiple sources may be aggregated into collections of content (e.g., called stories or galleries). These collections are then made available, by the messaging server application 114, to the messaging 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.
The application server 112 also includes an image processing system 116 that is dedicated to performing various image processing operations, typically with respect to images or video received within the payload of a message at the messaging server application 114.
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. 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 messaging 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 messages processed by the messaging server application 114.
The ephemeral timer system 202 is responsible for enforcing the temporary access to content permitted by the messaging client application 104 and the messaging server application 114. To this end, the ephemeral timer system 202 incorporates a number of timers that, based on duration and display parameters associated with a message, or collection of messages (e.g., a story), selectively display and enable access to messages and associated content via the messaging client application 104.
The collection management system 204 is responsible for managing collections of media (e.g., collections of text, image, video, and audio data). In some examples, a collection of content (e.g., messages, including images, video, text, and audio) may be organized into an “event gallery” or an “event story.” Such a collection may be made available for a specified time period, such as the duration of an event to which the content relates. For example, content relating to a music concert may be made available as a “story” for the duration of that music concert. The collection management system 204 may also be responsible for publishing an icon that provides notification of the existence of a particular collection to the user interface of the messaging client application 104.
The collection management system 204 furthermore includes a curation interface 208 that allows a collection manager to manage and curate a particular collection of content. For example, the curation interface 208 enables an event organizer to curate a collection of content relating to a specific event (e.g., delete inappropriate content or redundant messages). Additionally, the collection management system 204 employs machine vision (or image recognition technology) and content rules to automatically curate a content collection. In certain embodiments, compensation may be paid to a user for inclusion of user-generated content into a collection. In such cases, the curation interface 208 operates to automatically make payments to such users for the use of their content.
The annotation system 206 provides various functions that enable a user to annotate or otherwise modify or edit media content associated with a message. For example, the annotation system 206 provides functions related to the generation and publishing of media overlays for messages processed by the messaging system 100. The annotation system 206 operatively supplies a media overlay (e.g., a filter or LENS) to the messaging client application 104. In another example, the annotation system 206 operatively supplies a media overlay to the messaging client application 104 based on other information, such as social network information of the user of the client device 102. A media overlay may include audio and visual content and visual effects. Examples of audio and visual content include pictures, texts, logos, animations, and sound effects. An example of a visual effect includes color overlaying.
The audio and visual content or the visual effects can be applied to a media content item (e.g., a photo) at the client device 102. For example, the media overlay including text that can be overlaid on top of an image or video generated by the client device 102. In another example, the media overlay includes an identification of a location overlay (e.g., Venice beach), a name of a live event, or a name of a merchant overlay (e.g., Beach Coffee House).
The annotation system 206 includes a 3D caption system 210 that provides functionality to generate, display, and track virtual objects at positions relative to the client device 102, within a 3D space captured within a camera feed of the client device 102 (also referred to by those of ordinary skill in the art as a “camera stream,” “a video stream,” or a “video feed”). The virtual objects generated, displayed, and tracked by the 3D caption system 210 include 3D captions. A 3D caption is a 3D representation of one or more text characters (e.g., letters, symbols, and emojis).
The 3D caption system 210 provides functionality to enable users to author, edit, and preview 3D captions. To this end, the 3D caption system 210 includes an editing interface 212 and a preview interface 214. The editing interface 212 allows a user to author and edit a 3D caption. The editing interface 212 enables users to author 3D captions using keyboard input and enable users to edit 3D captions using keyboard input and other types of input including touchscreen-based gestures. In some cases, the users type text of a 3D caption in a 2D view and after the user selects a suitable option (e.g., a done option), the 2D text is converted to a 3D caption according to any font, color and/or style characteristics selected by the user. The preview interface 214 allows a user to preview and review a 3D caption before generating a message that includes the 3D caption. The preview interface 214 may also enable the user to edit the presentation of the 3D captions (e.g., by changing a scale, orientation, placement, font, style, and/or color of the 3D caption).
The 3D caption system 210 may cause a 3D caption to be displayed (e.g., on a display of the client device 102) at position in a 3D space captured within the camera feed based on a reference surface (e.g., the ground) detected in the 3D space. As will be discussed in further detail below, the 3D caption system 210 comprises a redundant tracking system comprising a set of tracking subsystems configured to track a 3D caption at a position in 3D space based on a set of tracking indicia, and transition between tracking subsystems. The 3D caption system 210 may further transition between tracking with six degrees of freedom (6DoF) and tracking with three degrees of freedom (3DoF) based on an availability of the tracking indicia.
In some embodiments, the 3D caption system 210 includes a face detection and/or tracking component. The 3D caption system 210 may receive an indication from the face detection component that a face is detected in a camera feed being received and displayed. In such cases, the 3D caption system 210 automatically positions the 3D caption in close proximity to the face. For example, the 3D caption system 210 may curve the 3D caption around the top of the face (e.g., in the shape of a crown), the bottom of the face or on the forehead of the person depicted in the camera feed. As the user moves the camera around, the face may no longer be detected by the face detection component. As a result, the 3D caption system 210 may move the 3D caption from being placed in proximity to the face to being placed on a suitable reference surface (e.g., the ground). When the camera pans back to reveal the face again, the 3D caption system 210 automatically moves and transitions display of the 3D caption from the reference surface to being in close proximity to the face. When the 3D caption is positioned in proximity to the face in the camera feed, the 3D caption system 210 activates the face tracking component to continuously adjust the position of the 3D caption relative to changes in positions of the face. For example, as the face moves up and down, the 3D caption also moves up and down to keep its placement on top of or underneath the face in the camera feed.
In some cases, the 3D caption system 210 detects more than one face in the same frame or image of the camera feed. In such circumstances, the 3D caption system 210 computes how many pixels are in each of the faces relative to the total number of pixels in the frame or image. The 3D caption system 210 may then place the 3D caption in close proximity to a given face of the one or more faces that has the greater number of pixels relative to the total number of pixels. Namely, the 3D caption system 210 may position the 3D caption in close proximity (e.g., above or below) the face that is largest in size relative to other faces in the image.
In some embodiments, the 3D caption system 210 determines whether a front-facing camera of the client device 102 is being used to capture and display the video feed or a rear-facing camera is being used. The front-facing camera is a camera integrated on a same side of the client device 102 as the display screen and points towards the user. The rear-facing camera (world camera) is a camera pointing away from the user and is on an opposing side from the front-facing camera. The 3D caption system 210 may determine that the front-facing camera is being used and may determine that a face is not detected in the video feed. In such cases, the 3D caption system 210 may disable the 3D captions feature of the messaging client application 104.
In some embodiments, the 3D caption system 210 may determine that a front-facing camera is used to display the video feed. The 3D caption system 210 may detect a face in the video feed. The 3D caption system 210 may present a 3D caption in close proximity to the face with or without graphical elements. While the 3D caption is presented in close proximity to the face (e.g., as a crown on top of the head on which the face is depicted), the 3D caption system 210 may receive a user request to activate the rear-facing camera. In response, the 3D caption system 210 may start presenting a video feed being captured by the rear-facing camera. The video feed may not include any faces, and in such cases the 3D caption system 210 presents the same 3D caption that was presented in close proximity to the face, on a surface depicted in the video feed of the rear-facing camera. When a face appears in the video feed of the rear-facing camera, the 3D caption system 210 automatically transitions and repositions the 3D caption in close proximity to the face that appears in the video feed.
In some embodiments, the 3D caption system 210 automatically determines context of an environment of the client device 102. For example, the 3D caption system 210 determines the day of the week and/or time of day. Based on the context of the environment, the 3D caption system 210 automatically selects text for insertion in the 3D caption. In response to receiving input from a user requesting that a 3D caption be inserted (or without receiving input from the user), the 3D caption system 210 presents the 3D caption with the text that is selected based on the context of the environment.
In some embodiments, the 3D caption system 210 enhances and augments the 3D caption with one or more graphical elements (e.g., emojis or avatars) when a face is detected in the camera feed. For example, when the face is detected in the camera, the 3D caption system places a 3D caption (with automatically populated text based on context or manually supplied text from the user) in close proximity to the face. The 3D caption system 210 also searches for one or more graphical elements based on context of the text in the 3D caption. Specifically, the 3D caption system 210 may automatically identify one or more words in the 3D caption that are associated in a database with one or more graphical elements. For example, the 3D caption system 210 may determine that the 3D caption includes the word “love” and may retrieve a heart emoji that is associated with the word “love”. The 3D caption system 210 may place the retrieved graphical elements on a left and a right side of the 3D caption to enclose the 3D caption with the graphical elements. For example, the 3D caption system 210 may display the word love in 3D above the user's face as a crown and place two heart emojis (one on the left and one on the right) around the 3D caption. In some cases, the 3D caption system 210 may determine that none of the words or phrases in the 3D caption matches or corresponds to words or phrases previously associated with graphical elements. In such cases, the 3D caption system 210 selects a default graphical element to populate into and add to the 3D caption.
In some embodiments, the 3D caption system 210 determines that the video feed being received and presented is being captured by the front-facing camera of the client device 102. In such cases, the 3D caption system 210 may determine whether a face is detected as being depicted in the video feed. If a face is detected in the video feed, the 3D caption system 210 automatically presents the one or more graphical elements when the user requests to add a 3D caption. Namely, after the 3D caption is added (either with automatically determined text or with text manually input by the user), the 3D caption system 210 automatically adds the one or more graphical elements to the caption.
In some embodiments, the 3D caption system 210 determines that the video feed being received and presented is being captured by the rear-facing camera of the client device 102. In such cases, the 3D caption system 210 may determine whether a face is detected as being depicted in the video feed. If a face is detected in the video feed, the 3D caption system 210 presents an option for the user to request to add one or more graphical elements when the user requests to add a 3D caption. Namely, after the 3D caption is added (either with automatically determined text or with text manually input by the user), the 3D caption system 210 provides an additional option for the user to select one or more graphical elements to add to the caption. In this way, graphical elements are automatically added to the 3D caption presented in proximity to a user's face when the video feed is being captured and received from the front-facing camera. When the video feed is being captured and received from the rear-facing camera, the 3D caption system 210 requests specific user instructions to add the graphical elements to the 3D caption that is presented in proximity to the user's face in the video feed.
In some embodiments, the 3D caption system 210 may allow the user to select the graphical elements in the camera feed that are displayed with the 3D caption. In response to receiving a user selection of the graphical element(s) (e.g., when the user taps on the displayed graphical element), the 3D caption system 210 may display the text of the 3D caption in 2D together with a menu of a list of alternate graphical elements for the user to choose from. The 3D graphical elements may continue to be displayed on the face without the 3D caption while the user selects a new graphical element from the list. In response to receiving a user selection of the new graphical element from the list, the 3D caption system 210 replaces the previously displayed graphical element with the selected graphical element and presents the 3D caption with the new graphical element. For example, the user can select a heart emoji that is displayed with the word “love” in the 3D caption. In response, a list of alternate graphical elements is displayed including a broken heart emoji. The user can select the broken heart emoji and in response the 3D caption system 210 displays the 3D caption with the word “love” and two broken heart emojis on either side of (e.g., on the left and right sides of) the 3D caption.
In some embodiments, the 3D caption system 210 may allow the user to modify or edit the text of the 3D caption. To do so, the 3D caption system 210 may receive input from the user that selects the 3D caption (e.g., the user can tap on the 3D caption). In response, the 3D caption system 210 may display the text of the 3D caption in 2D and allow the user to edit the text of the caption. The user can tap between any two letters of the text to navigate a cursor to a position between the two letters. The user can then add or delete characters starting from the position between the two letters the user selected. In some cases, the user can pinch the text in a 2D or 3D caption to adjust the size and layout of the text or 3D caption. In some cases, adjusting the size and layout of the text based on a pinch gesture may be enabled if the size of the text is wide enough (e.g., if there is a minimum of 4 or 5 characters in the text). In some embodiments, in response to receiving a user request to edit the 3D caption, the 3D caption system 210 automatically dims a display in which the 3D caption is presented. Namely, the 2D text is presented in a dimmer screen than the 3D caption to focus the user's attention on the 2D text.
In some embodiments, the user can modify attributes of the 2D text to make changes to the 3D caption. For example, the user can modify a color of the text and/or style of the text by selecting between a menu listing various styles and a separate menu listing various colors. In some embodiments, the 3D caption system 210 accesses a resource list of the client device 102 to determine whether resources (e.g., memory, processing power, and/or bandwidth) of the client device 102 satisfy a minimum device resource threshold. In response to determining that the resources (e.g., memory, processing power, and/or bandwidth) of the client device 102 satisfy the minimum device resource threshold, the 3D caption system 210 presents the menu of styles and/or colors for the user to use to modify the attributes of the 3D caption. In response to determining that the resources (e.g., memory, processing power, and/or bandwidth) of the client device 102 fail to satisfy the minimum device resource threshold, the 3D caption system 210 may not present the menu of styles and/or colors and may present the 3D caption with default attributes. In this way, the 3D caption system 210 conditions presentation of the option for adjusting visual attributes of the 3D caption based on the device resources.
When the user completes editing the text, the user can select a done option and, in response, the 3D caption system 210 may display the edited or modified text back on the surface or face that is in the camera feed. If the screen was dimmed while the user was editing the 2D text, the brightness of the screen may be restored to the brightness setting that was used to display the 3D caption prior to the user requesting to edit the 3D caption. In some cases, a first brightness setting is always used to display text in 2D for modifying the text of the 3D caption and a different, second brightness setting that is greater than the first brightness setting is used to present the 3D caption in the camera feed.
In some embodiments, the 3D caption system 210 stores a setting for each user indicating whether the given user has previously edited or accessed a 3D caption feature of the messaging client application 104. In response to receiving a user request to add, modify, or access the 3D caption feature, the 3D caption system 210 may access the settings for the user to determine whether the user is accessing the 3D caption feature for the first time. In response to determining that the user is accessing the 3D caption feature for the first time, the 3D caption system 210 may clear the setting to indicate that the user has not accessed the 3D caption system. Also, in response to determining that the user is accessing the 3D caption feature for the first time, the 3D caption system 210 may present a 3D caption in the camera feed together with an instructional animation (e.g., a 3D hint) on how to adjust the 3D caption. In some embodiments, the instructional animation includes a hand that repeatedly points to the 3D caption (e.g., the text of the 3D caption) and moves in a particular direction (e.g., towards the user) to indicate to the user that the user can point a finger and tap on the 3D caption to drag and reposition the 3D caption. The instructional animation can be any suitable instruction that visually explains to the user the options the user has to adjust or edit the 3D caption (e.g., the instructional animation can repeatedly point to the 3D caption to inform the user that if the user taps on the 3D caption, the user can edit text of the caption). After the 3D caption system 210 receives input from the user that responds to the instructional animation to perform the action indicated by the instruction, the 3D caption system 210 removes the instructional animation from the display and allows the user to perform the requested action (e.g., adjusting a position of and/or modifying the 3D caption).
In some embodiments, the 3D caption system 210 stores settings or attributes of the 3D caption for a threshold period of time (e.g., 30 seconds) after the user finishes creating a message that includes the 3D caption. For example, the user can select a style, text, color, and/or graphical elements to include in the 3D caption and place the 3D caption in a video feed. The 3D caption system 210 can then store a video clip or image that includes the 3D caption with the selected attributes to send or share with another user in a message. After the video clip is stored, the 3D caption system 210 may receive a user request to access the 3D caption feature of the messaging client application 104. The 3D caption system 210 determines when the video clip was stored (e.g., by accessing a timestamp of the video clip) and compares the time when the video clip was stored to the current time. If the video clip was stored more than a threshold period of time, such as if the difference between the current time and the creation time of the video clip exceeds a threshold, (e.g., if the 3D caption system 210 determines that a threshold amount of time has elapsed since the video segment was stored), the 3D caption system 210 may present a caption editing interface with default attributes (e.g., the user can input a new text string and the text string may be presented with default color and style). If the video clip was stored less than the threshold amount of time, such as if the difference between the current time and the creation time is less than the threshold, the 3D caption system 210 retrieves the 3D caption attributes last used by the user. For example, the 3D caption system 210 presents a 3D caption creation/modification feature with settings and attributes of the last caption the user created (e.g., the text of the last caption may be shown to the user with the previously selected style and color). The user can then modify the 3D caption and create a new segment with the modified 3D caption.
The database 120 includes message data stored within a message table 314. An entity table 302 stores entity data, including an entity graph 304. Entities for which records are maintained within the entity table 302 may include individuals, corporate entities, organizations, objects, places, events, and so forth. Regardless of type, any entity regarding which the messaging server system 108 stores data may be a recognized entity. Each entity is provided with a unique identifier, as well as an entity type identifier (not shown).
The entity graph 304 furthermore stores information regarding relationships and associations between entities. Such relationships may be social, professional (e.g., work at a common corporation or organization), interested-based, or activity-based, merely for example.
The database 120 also stores annotation data, in the example form of filters and LENSES, in an annotation table 312. Filters and LENSES for which data is stored within the annotation table 312 are associated with and applied to videos (for which data is stored in a video table 310) and/or images (for which data is stored in an image table 308). Filters are overlays that are displayed as overlaid on an image or video during presentation to a recipient user. LENSES include real-time visual effects and/or sounds that may be added to real-world environments depicted in a camera feed (e.g., while a user is viewing the camera feed via one or more interfaces of the messaging system 100, while composing a message, or during presentation to a recipient user). In comparison, filters are applied to an image or video after the image or video is captured at the client device 102 while a LENS is applied to the camera feed of the client device 102 such that when an image or video is captured at the client device 102 with a LENS applied, the applied LENS is incorporated as part of the image or video that is generated. Filters and LENSES may be of various types, including user-selected filters and LENSES from a gallery of filters or a gallery of LENSES presented to a sending user by the messaging client application 104 when the sending user is composing a message.
As mentioned above, the video table 310 stores video data which, in one embodiment, is associated with messages for which records are maintained within the message table 314. Similarly, the image table 308 stores image data associated with messages for which message data is stored in the entity table 302. The entity table 302 may associate various annotations from the annotation table 312 with various images and videos stored in the image table 308 and the video table 310.
Graphical elements list 307 stores a list of different graphical elements (e.g., emojis and/or avatars) that are associated with different contexts. For example, the graphical elements list 307 may store different emojis or paired emojis, each associated with a different context. Specifically, a happy face emoji or happy face emoji pair may be associated with a happy context, a heart emoji may be associated with a love context, a baseball or football emoji may be associated with a sporting event and/or baseball or football context, and a broken heart emoji may be associated with a sad or broken heart context.
Contexts list 309 stores a list of different contexts associated with different words or combinations of words. Graphical elements list 307 stores a list of rules that the three-dimensional caption system 210 uses to process a text string in a 2D/3D caption to derive or determine a context of the text string.
A story table 306 stores data regarding collections of messages and associated image, video, or audio data, which are compiled into a collection (e.g., a story or a gallery). The creation of a particular collection may be initiated by a particular user (e.g., each user for which a record is maintained in the entity table 302). A user may create a “personal story” in the form of a collection of content that has been created and sent/broadcast by that user. To this end, the UI of the messaging client application 104 may include an icon that is user-selectable to enable a sending user to add specific content to his or her personal story.
A collection may also constitute a “live story,” which is a collection of content from multiple users that is created manually, automatically, or using a combination of manual and automatic techniques. For example, a “live story” may constitute a curated stream of user-submitted content from various locations and events. Users whose client devices have location services enabled and are at a common location event at a particular time may, for example, be presented with an option, via a user interface of the messaging client application 104, to contribute content to a particular live story. The live story may be identified to the user by the messaging client application 104, based on his or her location. The end result is a “live story” told from a community perspective.
A further type of content collection is known as a “location story,” which enables a user whose client device 102 is located within a specific geographic location (e.g., on a college or university campus) to contribute to a particular collection. In some embodiments, a contribution to a location story may require a second degree of authentication to verify that the end user belongs to a specific organization or other entity (e.g., is a student on the university campus).
The contents (e.g., values) of the various components of message 400 may be pointers to locations in tables within which content data values are stored. For example, an image value in the message image payload 406 may be a pointer to (or address of) a location within an image table 308. Similarly, values within the message video payload 408 may point to data stored within a video table 310, values stored within the message annotations 412 may point to data stored in an annotation table 312, values stored within the message story identifier 418 may point to data stored in a story table 306, and values stored within the message sender identifier 422 and the message receiver identifier 424 may point to user records stored within an entity table 302.
Any one or more of the components described may be implemented using hardware alone (e.g., one or more of the processors 508 of a machine) or a combination of hardware and software. For example, any component described of the 3D caption system 210 may physically include an arrangement of one or more of the processors 508 (e.g., a subset of or among the one or more processors of the machine) configured to perform the operations described herein for that component. As another example, any component of the 3D caption system 210 may include software, hardware, or both, that configure an arrangement of one or more processors 508 (e.g., among the one or more processors of the machine) to perform the operations described herein for that component. Accordingly, different components of the 3D caption system 210 may include and configure different arrangements of such processors 508 or a single arrangement of such processors 508 at different points in time.
Moreover, any two or more components of the 3D caption system 210 may be combined into a single component, and the functions described herein for a single component may be subdivided among multiple components. Furthermore, according to various example embodiments, components described herein as being implemented within a single machine, database, or device may be distributed across multiple machines, databases, or devices.
The tracking system 504 may comprise a first tracking sub-system 504A, a second tracking sub-system 504B, and a third tracking sub-system 504C. Each tracking sub-system tracks the position of a 3D caption within the 3D space based on a set of tracking indicia.
Tracking systems are subject to frequent tracking failure due to environmental conditions, user actions, unanticipated visual interruption between camera and object/scene being tracked, and so forth. Traditionally, such tracking failures would cause a disruption in the presentation of virtual objects in a 3D space. For example, a virtual object may disappear or otherwise behave erratically, thereby interrupting the illusion of the virtual object being presented within the 3D space. This undermines the perceived quality of the 3D experience as a whole.
Traditional tracking systems rely on a single approach (Natural Feature Tracking (NFT), Simultaneous Localization And Mapping (SLAM), Gyroscopic, etc.) that each have breaking points in real-world usage due to inaccurate sensor data, movement, loss or occlusion of visual marker, or dynamic interruptions to a scene. Further, each approach may have individual limitations in capability. For example, a gyroscopic tracking system can only track items with 3DoF. Further, utilization of a single tracking system provides inaccurate or unstable position estimation, due to inherent limitations of each individual system. For example, an NFT system may not provide sufficient pitch, yaw, or roll estimation due to the inaccuracies of visual tracking alone, while gyroscopic tracking systems provide inaccurate translation (up, down, left, right).
To address the foregoing issues with traditional tracking systems, the 3D caption system 210 comprises multiple redundant tracking sub-systems 504A-C that enable seamless transitions between tracking sub-systems. The multiple redundant tracking sub-systems 504A-C address the issues with traditional tracking systems by merging multiple tracking approaches into a single tracking system 504. The tracking system 504 is able to combine 6DoF and 3DoF tracking techniques through combining and transitioning between multiple tracking systems based on the availability of tracking indicia tracked by the tracking systems. Thus, as the indicia tracked by any one tracking system becomes unavailable, the 3D caption system 210 seamlessly switches between tracking in 6DoF and 3DoF, thereby providing the user with an uninterrupted experience. For example, in the case of visual tracking systems (e.g., NFT, SLAM), tracking indicia typically analyzed to determine orientation may be replaced with gyroscopic tracking indicia from a gyroscopic tracking system. This would thereby enable transitioning between tracking in 6Dof and 3DoF based on the availability of tracking indicia.
In some example embodiments, to transition between tracking in 6DoF and 3DoF, the 3D caption system 210 gathers and stores tracking indicia within a tracking matrix that includes translation indicia (e.g., up, down, left, right) and rotation indicia (e.g., pitch, yaw, roll). The translation indicia gathered by an NFT system may thereby be extracted from the tracking matrix and utilized when future translation indicia gathered by the NFT system become inaccurate or unavailable. In the meantime, the rotation indicia continue to be provided by the gyroscope. In this way, when the mobile device loses tracking indicia, the tracked objects that are presented in the 3D space will not be changed abruptly at the frame when the tracking indicia are lost. Subsequently, when the target tracking object reappears in the screen, and a new translation T1 is obtained, the translation part of the view matrix will then be taking advantage of the new translation T1, and use T1−T0 as the translation of the view matrix.
The rendering component 502 of the 3D caption system 210 is configured to generate and render 3D captions in a 3D space captured within a live camera feed produced by a camera. For example, the rendering component 502 may generate a 3D caption based on input received from a user (e.g., keyboard input) and render the 3D caption in the 3D space captured within the live camera feed. In rendering the 3D caption, the 3D caption system 210 assigns the 3D caption to a position in the 3D space based on a real-world reference surface detected in the 3D space. In some cases, the rendering component 502 automatically positions the 3D caption in 3D space on top of a user's head or under the user's head in response to detecting presence of a face in the camera feed. The rendering component 502 automatically transitions the 3D caption to a reference surface (e.g., the ground) from being presented on top of or under the user's head when the face is no longer presented in the camera feed (e.g., because the user panned the camera right/left/up/down to a point where the face is no longer being picked up by the camera). Similarly, the rendering component 502 automatically transitions the 3D caption to being presented on top of or under the user's head from being presented on a reference surface (e.g., the ground) when the face is again (or for the first time) presented in the camera feed (e.g., because the user panned the camera right/left/up/down to a point where the face is being picked up by the camera).
The 3D caption system 210 may thereafter track the position of the 3D caption relative to a user device in the 3D space by one or more tracking systems in 6DoF. For example, the one or more tracking systems of the 3D caption system 210 may collect and analyze a set of tracking indicia (e.g., roll, pitch, yaw, natural features, etc.) in order to track the position of the 3D caption relative to the user device in the 3D space with 6DoF. In such embodiments, the 3D caption system 210 may transition between tracking systems based on the availability of the tracked indicia to maintain consistent tracking in 6DoF.
The disruption detection component 506 monitors tracking indicia to detect disruptions. Upon the disruption detection component 506 detecting an interruption of one or more indicia, such that tracking in 6DoF becomes unreliable or impossible, the 3D caption system 210 transitions to tracking the 3D caption in the 3D space in 3DoF in order to prevent an interruption of the display. For example, the 3D caption system 210 may transition from a first tracking system (or first set of tracking systems among the set of tracking systems) to a second tracking system among the set of tracking systems (or second set of tracking systems), wherein the second tracking system is capable of tracking the 3D caption with 3DoF in the 3D space, based on the tracking indicia available.
In some example embodiments, the set of tracking systems of the 3D caption system 210 includes a gyroscopic tracking system, an NFT system, as well as a SLAM tracking system. Each tracking system among the set of tracking systems may analyze tracking indicia in order to track a position of a virtual object within a 3D space. For example, to track a virtual object with 6DoF, the 3D caption system 210 may require at least six tracking indicia to be available. As tracking indicia become obstructed or unavailable for various reasons, the 3D caption system 210 may transition between the available tracking systems among the set of tracking systems in order to maintain 6DoF, or transition to 3DoF if necessary.
It will be readily appreciated that the 3D caption system 210 provides consistent rendered virtual objects (e.g., 3D captions) in real-world 3D spaces in a wide variety of environments and situations. In many applications it can be desirable to provide firm consistency for the locations of these virtual objects as one or more users, cameras, or other tracking items move around in the environment. This can involve the recognition and use of a specific fixed reference point (e.g., a fixed surface) in the real-world environment. Not using a fixed reference point or item can result in floating or other undesirable inconsistencies in the rendering and presentation of the virtual objects.
To ensure firm consistency in the location of virtual objects, annotation data in the example form of a presentation LENS that is specific for the 3D object tracking and rendering described herein may be employed. In particular, a surface-aware LENS is a presentation LENS that identifies and references a real-world surface (e.g., the ground) for the consistent rendering and presentation of virtual objects in 3D space. The surface-aware LENS can be a specific portion or subcomponent within the rendering component 502. This surface-aware LENS of the rendering component 502 can be configured to recognize a reference surface or face based on visual camera content, and may also utilize other device inputs (e.g., gyroscope, accelerometer, compass) to determine what is an appropriate surface within a 3D space depicted in a live camera feed. Once the reference surface or face has been determined, then a virtual object (e.g., a 3D caption) can be accomplished with respect to that reference surface or face. In an example, the reference surface in the 3D space is a ground surface. The 3D caption system 210 may render the 3D caption at a position in the 3D space such that the caption appears to be on or slightly above the 3D space. In an example, the reference surface in the 3D space is a face or head. The 3D caption system 210 may render the 3D caption at a position in the 3D space such that the caption appears to be on top of the head or slightly below the head in the 3D space. The 3D caption system 210 may curve the 3D caption around the head based on contours of the head. In particular, a more rounded face may result in a 3D caption that is more straight or curved less around the face or head than when the 3D caption is presented on a less rounded face. Namely, a 3D caption may be generated and a first user with a face having a first curvature may be detected in the video stream. The 3D caption may be curved by a first extent around the curvature of the first user's face. Then, a second user with a face having a second curvature may be detected. The second curvature may be smaller than the first curvature. In such cases, the same 3D caption may be presented with a smaller extent than the first extent around the curvature of the second user's face.
The preview interface 214 includes a presentation of a 3D caption generated based on the one or more text characters input by the user. The 3D caption is a 3D representation of the one or more text characters input by the user. The 3D caption may be rendered at a position in a 3D space captured in the camera feed that is based on a detected reference surface in the 3D space such as a ground or floor surface. For example, the 3D caption system may render the 3D caption such that it appears to be attached to the detected reference surface or face.
At operation 602, the 3D caption system 210 receives a video feed from a camera of a user device. For example, the 3D caption system 210 receives and displays a camera feed received from a rear-facing camera of the client device 102.
At operation 604, the 3D caption system 210 detects a face in the video feed. For example, the 3D caption system 210 detects that a user's face is present in the camera feed of the rear-facing camera.
At operation 606, the 3D caption system 210 retrieves a three-dimensional caption in response to detecting the face in the video feed. For example, the 3D caption system 210 receives a user input that types in letters of words or phrases to added to a 3D caption. In another example, the 3D caption system 210 determines a current context (e.g., the current time, time of day, location, date, or day of the week) and retrieves a prepopulated string of text based on which the 3D caption is automatically generated.
At operation 610, the 3D caption system 210 modifies the video feed to include the 3D caption at a position in 3D space of the video feed proximate to the face. For example, the 3D caption system 210 displays the 3D caption on top of the head of the user whose face is depicted in the camera feed so the 3D caption appears as a crown on the user's head. The 3D caption can be curved around the user's head.
At option 612, the 3D caption system 210 displays the modified video feed that includes the face and the 3D caption. For example, the 3D caption system 210 may track movement of the face in the video stream and maintain the 3D caption in a static placement relative to the user's face so the 3D caption moves together with the user's face.
At option 702, the 3D caption system 210 receives a video feed from a camera of a user device. For example, the 3D caption system 210 receives and displays a camera feed received from a front-facing camera of the client device 102.
At option 704, the 3D caption system 210 receives a request to add a 3D caption to the video feed. For example, the 3D caption system 210 receives a user selection of an option to add a 3D caption. The 3D caption system 210 dims the screen and presents a cursor allowing the user to input one or more characters of a word or phrase in 2D based on which the 3D caption is generated.
At option 706, the 3D caption system 210 identifies a graphical element that is associated with context of the 3D caption. For example, the 3D caption system 210 searches a database of graphical elements to identify a graphical element that is associated with the words or phrases in the 3D caption. In some cases, the 3D caption system 210 searches a database of contexts associated with words or phrases. Then the 3D caption system 210 retrieves a matching context and searches another database that associates different contexts with different graphical elements to identify a graphical element associated with the 3D caption.
At option 710, the 3D caption system 210 displays the 3D caption and the identified graphical element in the video feed at a position in 3D space of the video feed proximate to the face depicted in the video feed. For example, the 3D caption system 210 duplicates the retrieved graphical element (e.g., an emoji) and presents each instance of the duplicated graphical element on a given side of the 3D caption. Namely, a first graphical element may be positioned on a left side of the 3D caption and a second graphical element (that is a duplicate of the first graphical element) may be positioned on a right side of the 3D caption.
Consistent with some embodiments, upon receiving a user selection of the icon 1002, a user is presented with an editing interface configured for creating and editing a 3D caption. For example, upon receiving a user selection of the icon 1102, the 3D caption system 210 may cause display of a user interface 1100 illustrated in
As shown in
Consistent with some embodiments, a user of the client device 102 may access a preview interface (e.g., preview interface 214) that includes a preview of the 3D caption by providing an input such as changing an orientation of the client device 102 (e.g., changing the orientation of the camera from pointing upward to pointing downward) or by selecting an interface element (e.g., a button) presented within the preview interface 214.
As shown in
Once the user is satisfied with the placement and look of a 3D caption, the user may create a message that includes the 3D caption and one or more images from the camera feed. For example, the user may use the client device 102 to record a video in which the 3D caption is rendered such that it appears attached to a surface in the video.
While the 3D caption with the heart emojis is presented on top of the user's face in the camera feed, as shown in
In
In
In the example architecture of
The operating system 1902 may manage hardware resources and provide common services. The operating system 1902 may include, for example, a kernel 1922, services 1924, and drivers 1926. The kernel 1922 may act as an abstraction layer between the hardware and the other software layers. For example, the kernel 1922 may be responsible for memory management, processor management (e.g., scheduling), component management, networking, security settings, and so on. The services 1924 may provide other common services for the other software layers. The drivers 1926 are responsible for controlling or interfacing with the underlying hardware. For instance, the drivers 1926 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 1920 provide a common infrastructure that is used by the applications 1916 and/or other components and/or layers. The libraries 1920 provide functionality that allows other software components to perform tasks in an easier fashion than to interface directly with the underlying operating system 1902 functionality (e.g., kernel 1922, services 1924 and/or drivers 1926). The libraries 1920 may include system libraries 1944 (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 1920 may include API libraries 1946 such as media libraries (e.g., libraries to support presentation and manipulation of various media format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG), graphics libraries (e.g., an OpenGL framework that may be used to render 2D and 3D in a 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 1920 may also include a wide variety of other libraries 1948 to provide many other APIs to the applications 1916 and other software components/modules.
The frameworks/middleware 1918 (also sometimes referred to as middleware) provide a higher-level common infrastructure that may be used by the applications 1916 and/or other software components/modules. For example, the frameworks/middleware 1918 may provide various graphic user interface (GUI) functions, high-level resource management, high-level location services, and so forth. The frameworks/middleware 1918 may provide a broad spectrum of other APIs that may be utilized by the applications 1916 and/or other software components/modules, some of which may be specific to a particular operating system 1902 or platform.
The applications 1916 include built-in applications 1938 and/or third-party applications 1940. Examples of representative built-in applications 1938 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, and/or a game application. Third-party applications 1940 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 1940 may invoke the API calls 1908 provided by the mobile operating system (such as operating system 1902) to facilitate functionality described herein.
The applications 1916 may use built-in operating system functions (e.g., kernel 1922, services 1924, and/or drivers 1926), libraries 1920, and frameworks/middleware 1918 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 1914. In these systems, the application/component “logic” can be separated from the aspects of the application/component that interact with a user.
The machine 2000 may include processors 2004, memory memory/storage 2006, and I/O components 2018, which may be configured to communicate with each other such as via a bus 2002. In an example embodiment, the processors 2004 (e.g., 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), another processor, or any suitable combination thereof) may include, for example, a processor 2008 and a processor 2012 that may execute the instructions 2010. The term “processor” is intended to include multi-core processors 2004 that may comprise two or more independent processors (sometimes referred to as “cores”) that may execute instructions 2010 contemporaneously. Although
The memory/storage 2006 may include a memory 2014, such as a main memory, or other memory storage, and a storage unit 2016, both accessible to the processors 2004 such as via the bus 2002. The storage unit 2016 and memory 2014 store the instructions 2010 embodying any one or more of the methodologies or functions described herein. The instructions 2010 may also reside, completely or partially, within the memory 2014, within the storage unit 2016, within at least one of the processors 2004 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 2000. Accordingly, the memory 2014, the storage unit 2016, and the memory of processors 2004 are examples of machine-readable media.
The I/O components 2018 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 2018 that are included in a particular machine 2000 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 2018 may include many other components that are not shown in
In further example embodiments, the I/O components 2018 may include biometric components 2030, motion components 2034, environmental components 2036, or position components 2038 among a wide array of other components. For example, the biometric components 2030 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 2034 may include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The environmental components 2036 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 2038 may include location sensor components (e.g., a 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 2018 may include communication components 2040 operable to couple the machine 2000 to a network 2032 or devices 2020 via coupling 2024 and coupling 2022, respectively. For example, the communication components 2040 may include a network interface component or other suitable device to interface with the network 2032. In further examples, communication components 2040 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 2020 may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a USB).
Moreover, the communication components 2040 may detect identifiers or include components operable to detect identifiers. For example, the communication components 2040 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 2040, 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.
Glossary:
“CARRIER SIGNAL” in this context refers to any intangible medium that is capable of storing, encoding, or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible medium to facilitate communication of such instructions. Instructions may be transmitted or received over the network using a transmission medium via a network interface device and using any one of a number of well-known transfer protocols.
“CLIENT DEVICE” in this context refers 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, 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 refers 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.
“EPHEMERAL MESSAGE” in this context refers to a message that is accessible for a time-limited duration. An ephemeral message may be a text, an image, a video, and the like. The access time for the ephemeral message may be set by the message sender. Alternatively, the access time may be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is transitory.
“MACHINE-READABLE MEDIUM” in this context refers 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 refers to a device, physical entity, or logic having boundaries defined by function or subroutine calls, branch points, 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 example 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 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 example 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 example embodiments, the processors or processor-implemented components may be distributed across a number of geographic locations.
“PROCESSOR” in this context refers 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 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 refers to a sequence of characters or encoded information identifying when a certain event occurred, for example giving a date and time of day, sometimes accurate to a small fraction of a second.
This application is a continuation of U.S. patent application Ser. No. 17/581,093, filed on Jan. 21, 2022, which is a continuation of U.S. patent application Ser. No. 16/721,418, filed on Dec. 19, 2019, which are incorporated herein by reference in their entireties.
| Number | Name | Date | Kind |
|---|---|---|---|
| 5751850 | Rindtorff | May 1998 | A |
| 5880731 | Liles et al. | Mar 1999 | A |
| 6020891 | Rekimoto | Feb 2000 | A |
| 6023270 | Brush, II et al. | Feb 2000 | A |
| 6038295 | Mattes | Mar 2000 | A |
| 6157342 | Okude et al. | Dec 2000 | A |
| 6223165 | Lauffer | Apr 2001 | B1 |
| 6434277 | Yamada et al. | Aug 2002 | B1 |
| 6772195 | Hatlelid et al. | Aug 2004 | B1 |
| 6842779 | Nishizawa | Jan 2005 | B1 |
| 6867787 | Shimizu et al. | Mar 2005 | B1 |
| 6980909 | Root et al. | Dec 2005 | B2 |
| 7173651 | Knowles | Feb 2007 | B1 |
| 7342587 | Danzig et al. | Mar 2008 | B2 |
| 7411493 | Smith | Aug 2008 | B2 |
| 7468729 | Levinson | Dec 2008 | B1 |
| 7535890 | Rojas | May 2009 | B2 |
| 7636755 | Blattner et al. | Dec 2009 | B2 |
| 7639251 | Gu et al. | Dec 2009 | B2 |
| 7775885 | Van Luchene et al. | Aug 2010 | B2 |
| 7859551 | Bulman et al. | Dec 2010 | B2 |
| 7885931 | Seo et al. | Feb 2011 | B2 |
| 7925703 | Dinan et al. | Apr 2011 | B2 |
| 8088044 | Tchao et al. | Jan 2012 | B2 |
| 8095878 | Bates et al. | Jan 2012 | B2 |
| 8108774 | Finn et al. | Jan 2012 | B2 |
| 8117281 | Robinson et al. | Feb 2012 | B2 |
| 8130219 | Fleury et al. | Mar 2012 | B2 |
| 8131597 | Hudetz | Mar 2012 | B2 |
| 8146005 | Jones et al. | Mar 2012 | B2 |
| 8151191 | Nicol | Apr 2012 | B2 |
| 8199747 | Rojas et al. | Jun 2012 | B2 |
| 8332475 | Rosen et al. | Dec 2012 | B2 |
| 8384719 | Reville et al. | Feb 2013 | B2 |
| RE44054 | Kim | Mar 2013 | E |
| 8396708 | Park et al. | Mar 2013 | B2 |
| 8425322 | Gillo et al. | Apr 2013 | B2 |
| 8458601 | Castelli et al. | Jun 2013 | B2 |
| 8462198 | Lin et al. | Jun 2013 | B2 |
| 8484158 | Deluca et al. | Jul 2013 | B2 |
| 8495503 | Brown et al. | Jul 2013 | B2 |
| 8495505 | Smith et al. | Jul 2013 | B2 |
| 8504926 | Wolf | Aug 2013 | B2 |
| 8553032 | Poston | Oct 2013 | B1 |
| 8559980 | Pujol | Oct 2013 | B2 |
| 8564621 | Branson et al. | Oct 2013 | B2 |
| 8564710 | Nonaka et al. | Oct 2013 | B2 |
| 8570343 | Halstead | Oct 2013 | B2 |
| 8581911 | Becker et al. | Nov 2013 | B2 |
| 8597121 | Del Valle | Dec 2013 | B2 |
| 8601051 | Wang | Dec 2013 | B2 |
| 8601379 | Marks et al. | Dec 2013 | B2 |
| 8632408 | Gillo et al. | Jan 2014 | B2 |
| 8648865 | Dawson et al. | Feb 2014 | B2 |
| 8659548 | Hildreth | Feb 2014 | B2 |
| 8683354 | Khandelwal et al. | Mar 2014 | B2 |
| 8692830 | Nelson et al. | Apr 2014 | B2 |
| 8718333 | Wolf et al. | May 2014 | B2 |
| 8724622 | Rojas | May 2014 | B2 |
| 8730156 | Weising et al. | May 2014 | B2 |
| 8810513 | Ptucha et al. | Aug 2014 | B2 |
| 8812171 | Filev et al. | Aug 2014 | B2 |
| 8832201 | Wall | Sep 2014 | B2 |
| 8832552 | Arrasvuori et al. | Sep 2014 | B2 |
| 8839327 | Amento et al. | Sep 2014 | B2 |
| 8874677 | Rosen et al. | Oct 2014 | B2 |
| 8890926 | Tandon et al. | Nov 2014 | B2 |
| 8892999 | Nims et al. | Nov 2014 | B2 |
| 8909679 | Root et al. | Dec 2014 | B2 |
| 8924250 | Bates et al. | Dec 2014 | B2 |
| 8963926 | Brown et al. | Feb 2015 | B2 |
| 8989786 | Feghali | Mar 2015 | B2 |
| 8995433 | Rojas | Mar 2015 | B2 |
| 9031809 | Kumar et al. | May 2015 | B1 |
| 9040574 | Wang et al. | May 2015 | B2 |
| 9055416 | Rosen et al. | Jun 2015 | B2 |
| 9058757 | Bala et al. | Jun 2015 | B2 |
| 9086776 | Ye et al. | Jul 2015 | B2 |
| 9100806 | Rosen et al. | Aug 2015 | B2 |
| 9100807 | Rosen et al. | Aug 2015 | B2 |
| 9105014 | Collet et al. | Aug 2015 | B2 |
| 9191776 | Root et al. | Nov 2015 | B2 |
| 9204252 | Root | Dec 2015 | B2 |
| 9241184 | Weerasinghe | Jan 2016 | B2 |
| 9256860 | Herger et al. | Feb 2016 | B2 |
| 9298257 | Hwang et al. | Mar 2016 | B2 |
| 9314692 | Konoplev et al. | Apr 2016 | B2 |
| 9330483 | Du et al. | May 2016 | B2 |
| 9357174 | Li et al. | May 2016 | B2 |
| 9361510 | Yao et al. | Jun 2016 | B2 |
| 9378576 | Bouaziz et al. | Jun 2016 | B2 |
| 9402057 | Kaytaz et al. | Jul 2016 | B2 |
| 9412192 | Mandel et al. | Aug 2016 | B2 |
| 9430791 | Sutton-Shearer | Aug 2016 | B1 |
| 9442564 | Dillon | Sep 2016 | B1 |
| 9443227 | Evans et al. | Sep 2016 | B2 |
| 9460541 | Li et al. | Oct 2016 | B2 |
| 9489661 | Evans et al. | Nov 2016 | B2 |
| 9489760 | Li et al. | Nov 2016 | B2 |
| 9491134 | Rosen et al. | Nov 2016 | B2 |
| 9503845 | Vincent | Nov 2016 | B2 |
| 9508197 | Quinn et al. | Nov 2016 | B2 |
| 9517403 | Kim et al. | Dec 2016 | B1 |
| 9544257 | Ogundokun et al. | Jan 2017 | B2 |
| 9576201 | Wu et al. | Feb 2017 | B2 |
| 9576400 | Van Os et al. | Feb 2017 | B2 |
| 9589357 | Li et al. | Mar 2017 | B2 |
| 9592449 | Barbalet et al. | Mar 2017 | B2 |
| 9633447 | Swaminathan et al. | Apr 2017 | B2 |
| 9645394 | Kinnebrew et al. | May 2017 | B2 |
| 9648376 | Chang et al. | May 2017 | B2 |
| 9652897 | Osborn et al. | May 2017 | B2 |
| 9697635 | Quinn et al. | Jul 2017 | B2 |
| 9706040 | Kadirvel et al. | Jul 2017 | B2 |
| 9744466 | Fujioka | Aug 2017 | B2 |
| 9746990 | Anderson et al. | Aug 2017 | B2 |
| 9749270 | Collet et al. | Aug 2017 | B2 |
| 9789403 | Furment et al. | Oct 2017 | B1 |
| 9792714 | Li et al. | Oct 2017 | B2 |
| 9839844 | Dunstan et al. | Dec 2017 | B2 |
| 9883838 | Kaleal, III et al. | Feb 2018 | B2 |
| 9898849 | Du et al. | Feb 2018 | B2 |
| 9911073 | Spiegel et al. | Mar 2018 | B1 |
| 9936165 | Li et al. | Apr 2018 | B2 |
| 9959037 | Chaudhri et al. | May 2018 | B2 |
| 9980100 | Charlton et al. | May 2018 | B1 |
| 9990373 | Fortkort | Jun 2018 | B2 |
| 10039988 | Lobb et al. | Aug 2018 | B2 |
| 10097492 | Tsuda et al. | Oct 2018 | B2 |
| 10116598 | Tucker et al. | Oct 2018 | B2 |
| 10155168 | Blackstock et al. | Dec 2018 | B2 |
| 10173141 | Schindler et al. | Jan 2019 | B1 |
| 10242477 | Charlton et al. | Mar 2019 | B1 |
| 10242503 | McPhee et al. | Mar 2019 | B2 |
| 10262250 | Spiegel et al. | Apr 2019 | B1 |
| 10318034 | Hauenstein et al. | Jun 2019 | B1 |
| 10362219 | Wilson et al. | Jul 2019 | B2 |
| 10387730 | Cowburn et al. | Aug 2019 | B1 |
| 10475225 | Park et al. | Nov 2019 | B2 |
| 10504266 | Blattner et al. | Dec 2019 | B2 |
| 10529109 | Chen et al. | Jan 2020 | B1 |
| 10573048 | Ni et al. | Feb 2020 | B2 |
| 10593116 | Egri et al. | Mar 2020 | B2 |
| 10657701 | Osman et al. | May 2020 | B2 |
| 10699488 | Terrano | Jun 2020 | B1 |
| 10740978 | McPhee et al. | Aug 2020 | B2 |
| 10990246 | Law et al. | Apr 2021 | B1 |
| 11030813 | Hare et al. | Jun 2021 | B2 |
| 11176737 | Hare et al. | Nov 2021 | B2 |
| 11189098 | Hare et al. | Nov 2021 | B2 |
| 11195338 | Mcphee et al. | Dec 2021 | B2 |
| 11210850 | Goodrich et al. | Dec 2021 | B2 |
| 11227442 | Goodrich et al. | Jan 2022 | B1 |
| 11232646 | Goodrich et al. | Jan 2022 | B2 |
| 11263817 | Goodrich et al. | Mar 2022 | B1 |
| 11275252 | Boriskin et al. | Mar 2022 | B2 |
| 11308284 | Huang et al. | Apr 2022 | B2 |
| 11443491 | Hare et al. | Sep 2022 | B2 |
| 11501499 | Goodrich et al. | Nov 2022 | B2 |
| 11620791 | Goodrich et al. | Apr 2023 | B2 |
| 11636657 | Goodrich et al. | Apr 2023 | B2 |
| 11704878 | Mcphee et al. | Jul 2023 | B2 |
| 11715268 | Hare et al. | Aug 2023 | B2 |
| 11908093 | Goodrich et al. | Feb 2024 | B2 |
| 20020067362 | Agostino Nocera et al. | Jun 2002 | A1 |
| 20020169644 | Greene | Nov 2002 | A1 |
| 20040080467 | Chinthammit et al. | Apr 2004 | A1 |
| 20040113915 | Ohtsuki et al. | Jun 2004 | A1 |
| 20040212630 | Hobgood et al. | Oct 2004 | A1 |
| 20050041842 | Frakes et al. | Feb 2005 | A1 |
| 20050162419 | Kim et al. | Jul 2005 | A1 |
| 20050206610 | Cordelli | Sep 2005 | A1 |
| 20060294465 | Ronen et al. | Dec 2006 | A1 |
| 20070018811 | Gollu | Jan 2007 | A1 |
| 20070096678 | Melrose | May 2007 | A1 |
| 20070113181 | Blattner et al. | May 2007 | A1 |
| 20070168863 | Blattner et al. | Jul 2007 | A1 |
| 20070176921 | Iwasaki et al. | Aug 2007 | A1 |
| 20080078758 | Shimura et al. | Apr 2008 | A1 |
| 20080158222 | Li et al. | Jul 2008 | A1 |
| 20090016617 | Bregman-Amitai et al. | Jan 2009 | A1 |
| 20090055484 | Vuong et al. | Feb 2009 | A1 |
| 20090070688 | Gyorfi et al. | Mar 2009 | A1 |
| 20090099925 | Mehta et al. | Apr 2009 | A1 |
| 20090106672 | Burstrom | Apr 2009 | A1 |
| 20090158170 | Narayanan et al. | Jun 2009 | A1 |
| 20090160779 | Crockett et al. | Jun 2009 | A1 |
| 20090177976 | Bokor et al. | Jul 2009 | A1 |
| 20090202114 | Morin et al. | Aug 2009 | A1 |
| 20090215536 | Yee et al. | Aug 2009 | A1 |
| 20090265604 | Howard et al. | Oct 2009 | A1 |
| 20090300525 | Jolliff et al. | Dec 2009 | A1 |
| 20090303984 | Clark et al. | Dec 2009 | A1 |
| 20100011422 | Mason et al. | Jan 2010 | A1 |
| 20100020083 | Kumakura et al. | Jan 2010 | A1 |
| 20100023885 | Reville et al. | Jan 2010 | A1 |
| 20100115426 | Liu et al. | May 2010 | A1 |
| 20100162149 | Sheleheda et al. | Jun 2010 | A1 |
| 20100194782 | Gyorfi et al. | Aug 2010 | A1 |
| 20100203968 | Gill et al. | Aug 2010 | A1 |
| 20100227682 | Reville et al. | Sep 2010 | A1 |
| 20100251101 | Haussecker et al. | Sep 2010 | A1 |
| 20110064388 | Brown et al. | Mar 2011 | A1 |
| 20110093780 | Dunn | Apr 2011 | A1 |
| 20110115798 | Nayar et al. | May 2011 | A1 |
| 20110129118 | Hagbi et al. | Jun 2011 | A1 |
| 20110148864 | Lee et al. | Jun 2011 | A1 |
| 20110161242 | Chung et al. | Jun 2011 | A1 |
| 20110183732 | Block et al. | Jul 2011 | A1 |
| 20110202598 | Evans et al. | Aug 2011 | A1 |
| 20110239136 | Goldman et al. | Sep 2011 | A1 |
| 20120002014 | Walsh | Jan 2012 | A1 |
| 20120092329 | Koo et al. | Apr 2012 | A1 |
| 20120113106 | Choi et al. | May 2012 | A1 |
| 20120120186 | Diaz et al. | May 2012 | A1 |
| 20120124458 | Cruzada | May 2012 | A1 |
| 20120130717 | Xu et al. | May 2012 | A1 |
| 20120134588 | Zhang et al. | May 2012 | A1 |
| 20120146991 | Bala et al. | Jun 2012 | A1 |
| 20120194549 | Osterhout et al. | Aug 2012 | A1 |
| 20120206558 | Setton | Aug 2012 | A1 |
| 20120209924 | Evans et al. | Aug 2012 | A1 |
| 20120224773 | Sweet, III et al. | Sep 2012 | A1 |
| 20130021373 | Vaught et al. | Jan 2013 | A1 |
| 20130050258 | Liu et al. | Feb 2013 | A1 |
| 20130103760 | Golding et al. | Apr 2013 | A1 |
| 20130127980 | Haddick et al. | May 2013 | A1 |
| 20130141434 | Sugden et al. | Jun 2013 | A1 |
| 20130201187 | Tong et al. | Aug 2013 | A1 |
| 20130223673 | Davis et al. | Aug 2013 | A1 |
| 20130249948 | Reitan | Sep 2013 | A1 |
| 20130257877 | Davis | Oct 2013 | A1 |
| 20130278631 | Border et al. | Oct 2013 | A1 |
| 20140028713 | Keating et al. | Jan 2014 | A1 |
| 20140043329 | Wang et al. | Feb 2014 | A1 |
| 20140055554 | Du et al. | Feb 2014 | A1 |
| 20140078176 | Kim et al. | Mar 2014 | A1 |
| 20140080560 | Knutsson | Mar 2014 | A1 |
| 20140125678 | Wang et al. | May 2014 | A1 |
| 20140129343 | Finster et al. | May 2014 | A1 |
| 20140176608 | Boysen et al. | Jun 2014 | A1 |
| 20140267410 | Fein et al. | Sep 2014 | A1 |
| 20140270703 | Wang et al. | Sep 2014 | A1 |
| 20140321702 | Schmalstieg | Oct 2014 | A1 |
| 20140344762 | Grasset et al. | Nov 2014 | A1 |
| 20140351758 | Yoshida | Nov 2014 | A1 |
| 20150023602 | Wnuk et al. | Jan 2015 | A1 |
| 20150098614 | Gee et al. | Apr 2015 | A1 |
| 20150103183 | Abbott et al. | Apr 2015 | A1 |
| 20150206349 | Rosenthal et al. | Jul 2015 | A1 |
| 20150254467 | Leuthardt et al. | Sep 2015 | A1 |
| 20150262029 | Pirchheim et al. | Sep 2015 | A1 |
| 20150264304 | Chastney et al. | Sep 2015 | A1 |
| 20150269783 | Yun | Sep 2015 | A1 |
| 20150301599 | Miller | Oct 2015 | A1 |
| 20150309698 | Senderek et al. | Oct 2015 | A1 |
| 20150366527 | Yu et al. | Dec 2015 | A1 |
| 20160025978 | Mallinson | Jan 2016 | A1 |
| 20160054837 | Stafford | Feb 2016 | A1 |
| 20160063600 | Wuang | Mar 2016 | A1 |
| 20160073962 | Yu et al. | Mar 2016 | A1 |
| 20160085773 | Chang et al. | Mar 2016 | A1 |
| 20160109940 | Lyren et al. | Apr 2016 | A1 |
| 20160134840 | Mcculloch | May 2016 | A1 |
| 20160171739 | Anderson et al. | Jun 2016 | A1 |
| 20160234149 | Tsuda et al. | Aug 2016 | A1 |
| 20160292917 | Dorner et al. | Oct 2016 | A1 |
| 20160330522 | Newell et al. | Nov 2016 | A1 |
| 20160350967 | Klassen | Dec 2016 | A1 |
| 20160360115 | Rim | Dec 2016 | A1 |
| 20160379418 | Osborn et al. | Dec 2016 | A1 |
| 20170038829 | Lanier et al. | Feb 2017 | A1 |
| 20170039986 | Lanier et al. | Feb 2017 | A1 |
| 20170052946 | Gu et al. | Feb 2017 | A1 |
| 20170069134 | Shapira et al. | Mar 2017 | A1 |
| 20170080346 | Abbas | Mar 2017 | A1 |
| 20170087473 | Siegel et al. | Mar 2017 | A1 |
| 20170090747 | Dash | Mar 2017 | A1 |
| 20170103452 | Hertel et al. | Apr 2017 | A1 |
| 20170113140 | Blackstock et al. | Apr 2017 | A1 |
| 20170118145 | Aittoniemi et al. | Apr 2017 | A1 |
| 20170132821 | Valliani et al. | May 2017 | A1 |
| 20170178272 | Lashkari et al. | Jun 2017 | A1 |
| 20170199855 | Fishbeck | Jul 2017 | A1 |
| 20170221272 | Li et al. | Aug 2017 | A1 |
| 20170229153 | Moore et al. | Aug 2017 | A1 |
| 20170235848 | Van Dusen et al. | Aug 2017 | A1 |
| 20170243352 | Kutliroff et al. | Aug 2017 | A1 |
| 20170255450 | Mullins et al. | Sep 2017 | A1 |
| 20170278308 | Bleiweiss et al. | Sep 2017 | A1 |
| 20170287060 | Choi et al. | Oct 2017 | A1 |
| 20170310934 | Du et al. | Oct 2017 | A1 |
| 20170312634 | Ledoux et al. | Nov 2017 | A1 |
| 20170329488 | Welker et al. | Nov 2017 | A1 |
| 20170361225 | Goslin et al. | Dec 2017 | A1 |
| 20180005429 | Osman et al. | Jan 2018 | A1 |
| 20180040166 | Jayaraj et al. | Feb 2018 | A1 |
| 20180047200 | O'hara et al. | Feb 2018 | A1 |
| 20180061072 | Benezra et al. | Mar 2018 | A1 |
| 20180082117 | Sharma et al. | Mar 2018 | A1 |
| 20180082430 | Sharma et al. | Mar 2018 | A1 |
| 20180083978 | Pantazelos | Mar 2018 | A1 |
| 20180108179 | Tomlin et al. | Apr 2018 | A1 |
| 20180113587 | Allen et al. | Apr 2018 | A1 |
| 20180114365 | Egri et al. | Apr 2018 | A1 |
| 20180115503 | Baldwin et al. | Apr 2018 | A1 |
| 20180122142 | Egeler et al. | May 2018 | A1 |
| 20180143748 | Ahmed et al. | May 2018 | A1 |
| 20180143950 | Al-Arnaouti et al. | May 2018 | A1 |
| 20180152400 | Chung et al. | May 2018 | A1 |
| 20180158250 | Yamamoto et al. | Jun 2018 | A1 |
| 20180160194 | Bayliss et al. | Jun 2018 | A1 |
| 20180174600 | Chaudhuri et al. | Jun 2018 | A1 |
| 20180189743 | Balasubramanian et al. | Jul 2018 | A1 |
| 20180197343 | Hare et al. | Jul 2018 | A1 |
| 20180210628 | Mcphee et al. | Jul 2018 | A1 |
| 20180276882 | Harviainen et al. | Sep 2018 | A1 |
| 20180285647 | Chen et al. | Oct 2018 | A1 |
| 20180315076 | Andreou | Nov 2018 | A1 |
| 20180315133 | Brody et al. | Nov 2018 | A1 |
| 20180315134 | Amitay et al. | Nov 2018 | A1 |
| 20180330480 | Liu et al. | Nov 2018 | A1 |
| 20180335930 | Scapel et al. | Nov 2018 | A1 |
| 20180336714 | Stoyles et al. | Nov 2018 | A1 |
| 20180345129 | Rathod | Dec 2018 | A1 |
| 20180349451 | O'Connell et al. | Dec 2018 | A1 |
| 20190001223 | Blackstock et al. | Jan 2019 | A1 |
| 20190004688 | Bowen | Jan 2019 | A1 |
| 20190011703 | Robaina et al. | Jan 2019 | A1 |
| 20190057616 | Cohen et al. | Feb 2019 | A1 |
| 20190073834 | Holzer et al. | Mar 2019 | A1 |
| 20190107991 | Spivack et al. | Apr 2019 | A1 |
| 20190108578 | Spivack et al. | Apr 2019 | A1 |
| 20190188920 | Mcphee et al. | Jun 2019 | A1 |
| 20190221031 | De La Carcova et al. | Jul 2019 | A1 |
| 20190251720 | Hariton | Aug 2019 | A1 |
| 20190304189 | Falstrup et al. | Oct 2019 | A1 |
| 20190311341 | Rice | Oct 2019 | A1 |
| 20190342507 | Dye et al. | Nov 2019 | A1 |
| 20190385378 | Bastian et al. | Dec 2019 | A1 |
| 20200066014 | Mehta et al. | Feb 2020 | A1 |
| 20200066052 | Antonsen et al. | Feb 2020 | A1 |
| 20200074738 | Hare et al. | Mar 2020 | A1 |
| 20200082535 | Lindskog et al. | Mar 2020 | A1 |
| 20200105006 | Karsch et al. | Apr 2020 | A1 |
| 20200167995 | Hare et al. | May 2020 | A1 |
| 20200184731 | Egri et al. | Jun 2020 | A1 |
| 20200201514 | Murphy et al. | Jun 2020 | A1 |
| 20200202632 | Goodrich et al. | Jun 2020 | A1 |
| 20200327734 | Goodrich et al. | Oct 2020 | A1 |
| 20200334916 | Mcphee et al. | Oct 2020 | A1 |
| 20200380259 | Cahill et al. | Dec 2020 | A1 |
| 20200410763 | Hare et al. | Dec 2020 | A1 |
| 20210042993 | Tagra et al. | Feb 2021 | A1 |
| 20210074074 | Goodrich et al. | Mar 2021 | A1 |
| 20210132686 | Awaji | May 2021 | A1 |
| 20210174600 | Hare et al. | Jun 2021 | A1 |
| 20210241537 | Ahn | Aug 2021 | A1 |
| 20210256773 | Hare et al. | Aug 2021 | A1 |
| 20210264668 | Goodrich et al. | Aug 2021 | A1 |
| 20220036660 | Mcphee et al. | Feb 2022 | A1 |
| 20220044311 | Ray | Feb 2022 | A1 |
| 20220044479 | Hare et al. | Feb 2022 | A1 |
| 20220070385 | Van Os et al. | Mar 2022 | A1 |
| 20220076497 | Goodrich et al. | Mar 2022 | A1 |
| 20220076504 | Goodrich et al. | Mar 2022 | A1 |
| 20220121874 | Mayes et al. | Apr 2022 | A1 |
| 20220148270 | Goodrich et al. | May 2022 | A1 |
| 20220375178 | Hare et al. | Nov 2022 | A1 |
| 20230037233 | Goodrich et al. | Feb 2023 | A1 |
| 20230089838 | Goodrich et al. | Mar 2023 | A1 |
| 20230215117 | Goodrich et al. | Jul 2023 | A1 |
| 20230245401 | Mcphee et al. | Aug 2023 | A1 |
| 20240161425 | Goodrich et al. | May 2024 | A1 |
| Number | Date | Country |
|---|---|---|
| 2887596 | Jul 2015 | CA |
| 103443582 | Dec 2013 | CN |
| 103460256 | Dec 2013 | CN |
| 104764452 | Jul 2015 | CN |
| 105278826 | Jan 2016 | CN |
| 105607034 | May 2016 | CN |
| 106033333 | Oct 2016 | CN |
| 107093204 | Aug 2017 | CN |
| 107209950 | Sep 2017 | CN |
| 107329962 | Nov 2017 | CN |
| 109863510 | Jun 2019 | CN |
| 109863532 | Jun 2019 | CN |
| 110168476 | Aug 2019 | CN |
| 110168478 | Aug 2019 | CN |
| 112639691 | Apr 2021 | CN |
| 113330484 | Aug 2021 | CN |
| 114026831 | Feb 2022 | CN |
| 114080628 | Feb 2022 | CN |
| 114341780 | Apr 2022 | CN |
| 110168478 | Jan 2023 | CN |
| 115933886 | Apr 2023 | CN |
| 2184092 | May 2010 | EP |
| 3086292 | Oct 2016 | EP |
| 3506213 | Jul 2019 | EP |
| 2001230801 | Aug 2001 | JP |
| 5497931 | Mar 2014 | JP |
| 20130119473 | Oct 2013 | KR |
| 20140020871 | Feb 2014 | KR |
| 101445263 | Sep 2014 | KR |
| 20150013709 | Feb 2015 | KR |
| 20150038272 | Apr 2015 | KR |
| 20150126938 | Nov 2015 | KR |
| 20190075977 | Jul 2019 | KR |
| 102254709 | May 2021 | KR |
| 102257167 | May 2021 | KR |
| 102367928 | Mar 2022 | KR |
| 102482293 | Dec 2022 | KR |
| WO-2003094072 | Nov 2003 | WO |
| WO-2004095308 | Nov 2004 | WO |
| WO-2006107182 | Oct 2006 | WO |
| WO-2007134402 | Nov 2007 | WO |
| WO-2011109126 | Sep 2011 | WO |
| WO-2012139276 | Oct 2012 | WO |
| WO-2013017991 | Feb 2013 | WO |
| WO-2013027893 | Feb 2013 | WO |
| WO-2013152454 | Oct 2013 | WO |
| WO-2013166588 | Nov 2013 | WO |
| WO-2014031899 | Feb 2014 | WO |
| WO-2014194439 | Dec 2014 | WO |
| WO-2016090605 | Jun 2016 | WO |
| WO-2018081013 | May 2018 | WO |
| WO-2018081125 | May 2018 | WO |
| WO-2018102562 | Jun 2018 | WO |
| WO-2018128930 | Jul 2018 | WO |
| WO-2018129531 | Jul 2018 | WO |
| WO-2018129531 | Jul 2018 | WO |
| WO-2019089613 | May 2019 | WO |
| WO-2020047117 | Mar 2020 | WO |
| WO-2020132541 | Jun 2020 | WO |
| WO-2020264551 | Dec 2020 | WO |
| WO-2021003499 | Jan 2021 | WO |
| WO-2020264551 | Feb 2021 | WO |
| WO-2021046582 | Mar 2021 | WO |
| Entry |
|---|
| US 10,964,114 B2, 03/2021, Hare et al. (withdrawn) |
| “U.S. Appl. No. 15/581,994, Corrected Notice of Allowability mailed Jan. 7, 2020”, 2 pgs. |
| “U.S. Appl. No. 15/581,994, Corrected Notice of Allowability mailed Feb. 18, 2020”, 3 pgs. |
| “U.S. Appl. No. 15/581,994, Final Office Action mailed Dec. 3, 2018”, 18 pgs. |
| “U.S. Appl. No. 15/581,994, Non Final Office Action mailed Jun. 6, 2019”, 15 pgs. |
| “U.S. Appl. No. 15/581,994, Non Final Office Action mailed Jun. 26, 2018”, 14 pgs. |
| “U.S. Appl. No. 15/581,994, Notice of Allowance mailed Nov. 6, 2019”, 8 pgs. |
| “U.S. Appl. No. 15/581,994, Response filed Feb. 26, 2019 to Final Office Action mailed Dec. 3, 2018”, 11 pgs. |
| “U.S. Appl. No. 15/581,994, Response filed Sep. 26, 2018 to Non Final Office Action mailed Jun. 26, 2018”, 11 pgs. |
| “U.S. Appl. No. 15/581,994, Response filed Aug. 2019, 19 to Non-Final Office Action mailed Jun. 6, 2019”, 12 pgs. |
| “U.S. Appl. No. 15/863,575, Non Final Office Action mailed Aug. 9, 2018”, 14 pgs. |
| “U.S. Appl. No. 15/863,575, Notice of Allowance mailed Nov. 15, 2018”, 8 pgs. |
| “U.S. Appl. No. 15/863,575, Response filed Sep. 24, 2018 to Non Final Office Action mailed Aug. 9, 2018”, 9 pgs. |
| “U.S. Appl. No. 16/242,708, Corrected Notice of Allowability mailed Feb. 23, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/242,708, Examiner Interview Summary mailed Jul. 29, 2020”, 3 pgs. |
| “U.S. Appl. No. 16/242,708, Final Office Action mailed Jul. 2, 2020”, 25 pgs. |
| “U.S. Appl. No. 16/242,708, Non Final Office Action mailed Feb. 28, 2020”, 19 pgs. |
| “U.S. Appl. No. 16/242,708, Notice of Allowance mailed Feb. 4, 2021”, 7 pgs. |
| “U.S. Appl. No. 16/242,708, Notice of Allowance mailed Aug. 19, 2020”, 5 pgs. |
| “U.S. Appl. No. 16/242,708, Notice of Allowance mailed Nov. 4, 2020”, 7 pgs. |
| “U.S. Appl. No. 16/242,708, Response filed May 15, 2020 to Non Final Office Action mailed Feb. 28, 2020”, 11 pgs. |
| “U.S. Appl. No. 16/242,708, Response filed Aug. 5, 2020 to Final Office Action mailed Jul. 2, 200”, 11 pgs. |
| “U.S. Appl. No. 16/283,482, Examiner Interview Summary mailed Feb. 19, 2020”, 3 pgs. |
| “U.S. Appl. No. 16/283,482, Final Office Action mailed Dec. 16, 2019”, 15 pgs. |
| “U.S. Appl. No. 16/283,482, Non Final Office Action mailed Jun. 26, 2019”, 13 pgs. |
| “U.S. Appl. No. 16/283,482, Notice of Allowance mailed Apr. 2, 2020”, 9 pgs. |
| “U.S. Appl. No. 16/283,482, Response filed Mar. 9, 2020 to Final Office Action mailed Dec. 16, 2019”, 11 pgs. |
| “U.S. Appl. No. 16/283,482, Response filed Sep. 26, 2019 to Non Final Office Action mailed Jun. 26, 2019”, 13 pgs. |
| “U.S. Appl. No. 16/457,461, Corrected Notice of Allowability mailed Feb. 26, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/457,461, Examiner Interview Summary mailed Jul. 10, 2020”, 3 pgs. |
| “U.S. Appl. No. 16/457,461, Final Office Action mailed Jul. 14, 2020”, 16 pgs. |
| “U.S. Appl. No. 16/457,461, Non Final Office Action mailed Apr. 16, 2020”, 13 pgs. |
| “U.S. Appl. No. 16/457,461, Notice of Allowance mailed Apr. 14, 2021”, 7 pgs. |
| “U.S. Appl. No. 16/457,461, Notice of Allowance mailed Jul. 28, 2021”, 5 pgs. |
| “U.S. Appl. No. 16/457,461, Notice of Allowance mailed Sep. 2, 2020”, 7 pgs. |
| “U.S. Appl. No. 16/457,461, Notice of Allowance mailed Nov. 19, 2020”, 8 pgs. |
| “U.S. Appl. No. 16/457,461, Response filed Jul. 1, 2020 to Non Final Office Action mailed Apr. 16, 2020”, 9 pgs. |
| “U.S. Appl. No. 16/457,461, Response filed Aug. 20, 2020 to Final Office Action mailed Jul. 14, 2020”, 8 pgs. |
| “U.S. Appl. No. 16/460,519, Advisory Action mailed Mar. 9, 2021”, 4 pgs. |
| “U.S. Appl. No. 16/460,519, Final Office Action mailed Jan. 6, 2021”, 33 pgs. |
| “U.S. Appl. No. 16/460,519, Non Final Office Action mailed Mar. 17, 2021”, 37 pgs. |
| “U.S. Appl. No. 16/460,519, Non Final Office Action mailed Sep. 4, 2020”, 27 pgs. |
| “U.S. Appl. No. 16/460,519, Notice of Allowance mailed Jul. 12, 2021”, 5 pgs. |
| “U.S. Appl. No. 16/460,519, Response filed Feb. 23, 2021 to Final Office Action mailed Jan. 6, 2021”, 10 pgs. |
| “U.S. Appl. No. 16/460,519, Response filed Jun. 15, 2021 to Non Final Office Action mailed Mar. 17, 2021”, 10 pgs. |
| “U.S. Appl. No. 16/460,519, Response filed Dec. 2, 2020 to Non Final Office Action mailed Sep. 4, 2020”, 10 pgs. |
| “U.S. Appl. No. 16/696,600, 312 Amendment filed Jul. 7, 2021”, 7 pgs. |
| “U.S. Appl. No. 16/696,600, Corrected Notice of Allowability mailed May 12, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/696,600, Corrected Notice of Allowability mailed Jul. 21, 2021”, 3 pgs. |
| “U.S. Appl. No. 16/696,600, Corrected Notice of Allowability mailed Sep. 8, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/696,600, Non Final Office Action mailed Sep. 15, 2020”, 20 pgs. |
| “U.S. Appl. No. 16/696,600, Notice of Allowability mailed Jan. 26, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/696,600, Notice of Allowance mailed May 4, 2021”, 9 pgs. |
| “U.S. Appl. No. 16/696,600, Notice of Allowance mailed Aug. 17, 2021”, 8 pgs. |
| “U.S. Appl. No. 16/696,600, Notice of Allowance mailed Dec. 18, 2020”, 11 pgs. |
| “U.S. Appl. No. 16/696,600, Response filed Oct. 30, 2020 to Non Final Office Action mailed Sep. 15, 2020”, 8 pgs. |
| “U.S. Appl. No. 16/721,418, Final Office Action mailed Aug. 4, 2021”, 31 pgs. |
| “U.S. Appl. No. 16/721,418, Non Final Office Action mailed Apr. 29, 2021”, 28 pgs. |
| “U.S. Appl. No. 16/721,418, Notice of Allowance mailed Oct. 21, 2021”, 8 pgs. |
| “U.S. Appl. No. 16/721,418, Response filed Jul. 28, 2021 to Non Final Office Action mailed Apr. 29, 2021”, 11 pgs. |
| “U.S. Appl. No. 16/721,418, Response filed Oct. 4, 2021 to Final Office Action mailed Aug. 4, 2021”, 12 pgs. |
| “U.S. Appl. No. 16/721,459, Non Final Office Action mailed Apr. 15, 2021”, 17 pgs. |
| “U.S. Appl. No. 16/721,459, Notice of Allowability mailed Dec. 17, 2021”, 6 pgs. |
| “U.S. Appl. No. 16/721,459, Notice of Allowance mailed Aug. 19, 2021”, 10 pgs. |
| “U.S. Appl. No. 16/721,459, Response filed Jul. 6, 2021 to Non Final Office Action mailed Apr. 15, 2021”, 10 pgs. |
| “U.S. Appl. No. 16/723,540, Examiner Interview Summary mailed Jun. 16, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/723,540, Final Office Action mailed Sep. 27, 2021”, 18 pgs. |
| “U.S. Appl. No. 16/723,540, Non Final Office Action mailed Mar. 18, 2021”, 15 pgs. |
| “U.S. Appl. No. 16/723,540, Response filed Jun. 16, 2021 to Non Final Office Action mailed Mar. 18, 2021”, 10 pgs. |
| “U.S. Appl. No. 16/723,540, Response filed Dec. 23, 2021 to Final Office Action mailed Sep. 27, 2021”, 10 pgs. |
| “U.S. Appl. No. 16/747,318, 312 Amendment filed Nov. 5, 2021”, 7 pgs. |
| “U.S. Appl. No. 16/747,318, Corrected Notice of Allowability mailed Dec. 22, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/747,318, Examiner Interview Summary mailed Mar. 12, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/747,318, Final Office Action mailed May 12, 2021”, 14 pgs. |
| “U.S. Appl. No. 16/747,318, Non Final Office Action mailed Dec. 15, 2020”, 11 pgs. |
| “U.S. Appl. No. 16/747,318, Notice of Allowance mailed Sep. 9, 2021”, 6 pgs. |
| “U.S. Appl. No. 16/747,318, PTO Response to Rule 312 Communication mailed 11- 23-2021”, 3 pgs. |
| “U.S. Appl. No. 16/747,318, Response filed Mar. 15, 2021 to Non Final Office Action mailed Dec. 15, 2020”, 11 pgs. |
| “U.S. Appl. No. 16/747,318, Response filed Aug. 12, 2021 to Final Office Action mailed May 12, 2021”, 11 pgs. |
| “U.S. Appl. No. 16/790,322, Examiner Interview Summary mailed Jun. 14, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/790,322, Final Office Action mailed May 3, 2021”, 22 pgs. |
| “U.S. Appl. No. 16/790,322, Non Final Office Action mailed Nov. 25, 2020”, 21 pgs. |
| “U.S. Appl. No. 16/790,322, Response filed Feb. 25, 2021 to Non Final Office Action mailed Nov. 25, 2020”, 9 pgs. |
| “U.S. Appl. No. 16/790,322, Response filed Aug. 2, 2021 to Final Office Action mailed May 3, 2021”, 10 pgs. |
| “U.S. Appl. No. 16/922,618, Non Final Office Action mailed Apr. 27, 2021”, 9 pgs. |
| “U.S. Appl. No. 16/922,618, Notice of Allowance mailed Aug. 4, 2021”, 9 pgs. |
| “U.S. Appl. No. 16/922,618, Response filed Jun. 17, 2021 to Non Final Office Action mailed Apr. 27, 2021”, 7 pgs. |
| “U.S. Appl. No. 17/319,399, Corrected Notice of Allowability mailed Jan. 11, 2023”, 2 pgs. |
| “U.S. Appl. No. 17/319,399, Corrected Notice of Allowability mailed Feb. 27, 2023”, 2 pgs. |
| “U.S. Appl. No. 17/319,399, Non Final Office Action mailed Apr. 22, 2022”, 8 pgs. |
| “U.S. Appl. No. 17/319,399, Notice of Allowance mailed Aug. 25, 2022”, 9 pgs. |
| “U.S. Appl. No. 17/319,399, Response filed Jul. 21, 2022 to Non Final Office Action mailed Apr. 22, 2022”, 8 pgs. |
| “U.S. Appl. No. 17/528,697, Non Final Office Action mailed Sep. 15, 2022”, 12 pgs. |
| “U.S. Appl. No. 17/528,697, Notice of Allowance mailed Jan. 11, 2023”, 10 pgs. |
| “U.S. Appl. No. 17/528,697, Response filed Dec. 2, 2022 to Non Final Office Action mailed Sep. 15, 2022”, 8 pgs. |
| “U.S. Appl. No. 17/581,093, Notice of Allowance mailed Jul. 6, 2023”, 9 pgs. |
| “European Application Serial No. 17835983.2, Response to Communication Pursuant to Rules 161(1) and 162 EPC filed Feb. 19, 2020”, 11 pgs. |
| “European Application Serial No. 18713732.8, Response to Communication Pursuant to Rules 161(1) and 162 EPC filed Feb. 19, 2020”, 25 pgs. |
| “European Application Serial No. 17835983.2, Communication Pursuant to Article 94(3) EPC mailed Aug. 24, 2021”, 7 pgs. |
| “European Application Serial No. 17865596.5, Communication Pursuant to Article 94(3) EPC mailed Sep. 23, 2021”, 6 pgs. |
| “European Application Serial No. 17865596.5, Extended European Search Report mailed Sep. 13, 2019”, 11 pgs. |
| “European Application Serial No. 17865596.5, Response filed Apr. 9, 2020 to Extended European Search Report mailed Sep. 13, 2019”, 21 pgs. |
| “European Application Serial No. 19769288.2, Response filed Sep. 29, 2021 to Communication Pursuant to Rules 161(1) and 162 EPC mailed Apr. 8, 2021”, 24 pgs. |
| “European Application Serial No. 21153993.7, Extended European Search Report mailed May 12, 2021”, 9 pgs. |
| “International Application Serial No. PCT/US2017/058093, International Preliminary Report on Patentability mailed May 9, 2019”, 6 pgs. |
| “International Application Serial No. PCT/US2017/058093, International Search Report mailed Jan. 4, 2018”, 2 pgs. |
| “International Application Serial No. PCT/US2017/058093, Written Opinion mailed Jan. 4, 2018”, 4 pgs. |
| “International Application Serial No. PCT/US2017/068988, International Preliminary Report on Patentability mailed Jul. 18, 2018”, 8 pgs. |
| “International Application Serial No. PCT/US2017/068988, International Search Report mailed Apr. 5, 2018”, 3 pgs. |
| “International Application Serial No. PCT/US2017/068988, Written Opinion mailed Apr. 5, 2018”, 6 pgs. |
| “International Application Serial No. PCT/US2018/012967, International Preliminary Report on Patentability mailed Jul. 18, 2019”, 8 pgs. |
| “International Application Serial No. PCT/US2018/012967, International Search Report mailed May 15, 2018”, 5 pgs. |
| “International Application Serial No. PCT/US2018/012967, Written Opinion mailed May 15, 2018”, 6 pgs. |
| “International Application Serial No. PCT/US2019/048597, International Preliminary Report on Patentability mailed Mar. 11, 2021”, 10 pgs. |
| “International Application Serial No. PCT/US2019/048597, International Search Report mailed Dec. 2, 2019”, 5 pgs. |
| “International Application Serial No. PCT/US2019/048597, Written Opinion mailed Dec. 2, 2019”, 8 pgs. |
| “International Application Serial No. PCT/US2019/068007, International Preliminary Report on Patentability mailed Jul. 1, 2021”, 17 pgs. |
| “International Application Serial No. PCT/US2019/068007, International Search Report mailed Apr. 30, 2020”, 10 pgs. |
| “International Application Serial No. PCT/US2019/068007, Invitation to Pay Additional Fees mailed Mar. 11, 2020”, 18 pgs. |
| “International Application Serial No. PCT/US2019/068007, Written Opinion mailed Apr. 30, 2020”, 15 pgs. |
| “International Application Serial No. PCT/US2020/070158, International Preliminary Report on Patentability mailed Jan. 6, 2022”, 14 pgs. |
| “International Application Serial No. PCT/US2020/070158, International Search Report mailed Dec. 17, 2020”, 5 pgs. |
| “International Application Serial No. PCT/US2020/070158, Invitation to Pay Additional Fees mailed Oct. 1, 2020”, 12 pgs. |
| “International Application Serial No. PCT/US2020/070158, Written Opinion mailed Dec. 17, 2020”, 12 pgs. |
| “International Application Serial No. PCT/US2020/070230, International Preliminary Report on Patentability mailed Jan. 13, 2022”, 16 pgs. |
| “International Application Serial No. PCT/US2020/070230, International Search Report mailed Nov. 5, 2020”, 7 pgs. |
| “International Application Serial No. PCT/US2020/070230, Invitation to Pay Additional Fees mailed Sep. 15, 2020”, 16 pgs. |
| “International Application Serial No. PCT/US2020/070230, Written Opinion mailed Nov. 5, 2020”, 14 pgs. |
| “International Application Serial No. PCT/US2020/070503, International Search Report mailed Dec. 2, 2020”, 5 pgs. |
| “International Application Serial No. PCT/US2020/070503, Written Opinion mailed Dec. 2, 2020”, 7 pgs. |
| “Korean Application Serial No. 10-2019-7014554, Final Office Action mailed May 25, 2021”, w/English Translation, 6 pgs. |
| “Korean Application Serial No. 10-2019-7014554, Notice of Preliminary Rejection mailed Nov. 27, 2020”, w/ English Translation, 7 pgs. |
| “Korean Application Serial No. 10-2019-7014554, Response filed Jan. 27, 2021 to Notice of Preliminary Rejection mailed Nov. 27, 2020”, w/ English Translation of Claims, 18 pgs. |
| “Korean Application Serial No. 10-2019-7014554, Response filed Jun. 25, 2021 to Final Office Action mailed May 25, 21”, w/ English Translation of Claims, 18 pgs. |
| “Korean Application Serial No. 10-2019-7023098, Notice of Preliminary Rejection mailed Oct. 8, 2020”, w/ English translation, 15 pgs. |
| “Korean Application Serial No. 10-2019-7023098, Response filed Jan. 8, 2021 to Notice of Preliminary Rejection mailed Oct. 8, 2020”, w/ English Claims, 19 pgs. |
| “Korean Application Serial No. 10-2021-7014739, Notice of Preliminary Rejection mailed May 29, 2021”, w/ English translation, 9 pgs. |
| “Korean Application Serial No. 10-2021-7014739, Response filed Aug. 10, 2021 to Notice of Preliminary Rejection mailed May 29, 2021”, w/ English claims, 17 pgs. |
| “Korean Application Serial No. 10-2021-7015384, Notice of Preliminary Rejection mailed Jun. 11, 2021”, w/ English translation, 13 pgs. |
| “Korean Application Serial No. 10-2021-7015384, Response filed Oct. 7, 2021 to Notice of Preliminary Rejection mailed Jun. 11, 2021”, w/ English Claims, 17 pgs. |
| “Mirror my texture”, C4dcafe, [Online] Retrieved from the Internet: <URL: https://www.c4dcafe.com/ipb/forums/topic/95957-mirror-my-texture/)>, (2016), 3 pgs. |
| “Mobile Keyboard”, Unity User Manual, Website, historical copy retrieved from web archive: <https://web.archive.org/web/20181204043559/https://docs.unity3d.com/Manual/MobileKeyboard.html> on Apr. 20, 2021, (Dec. 4, 2018), 5 pgs. |
| Besancon, Lonni, “A Tangible vol. for Portable 3D Interaction”, Youtube, [Online] Retrieved from the Internet: <URL: https://www.youtube.com/watch?v=LP7GG6t2j-g>, [Accessed May 28, 2021], (Sep. 28, 2016), 4 pgs. |
| Bikos, Marios, “Diploma Thesis(AR-Chess)—Gameplay (Virtual Object Manipulation)”, Youtube, [Online] Retrieved from the Internet: <URL: https://www.youtube.com/watch?v=lpb3xHwgLfU>, [Accessed May 28, 2021], (Jul. 3, 2015), 2 pgs. |
| Deepu, R, et al., “3D Reconstruction from Single 2D Image”, International Journal of Latest Research in Engineering and Technology (IJLRET), 2(1), (Jan. 2016), 42-51. |
| Fuccella, Vittorio, et al., “Gestures and Widgets: Performance in Text Editing on Multi-Touch Capable Mobile Devices”, ACM, CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (Apr. 2013), 2785-2794. |
| Giaccone, P R, et al., “Foreground-background segmentation by cellular neural networks”, IEEE 15th International Conference on Pattern Recognition (ICPR-2000), vol. 2, (2000), 438-441. |
| Kawai, Norihiko, et al., “Diminished Reality Based on Image Inpainting Considering Background Geometry”, IEEE transactions on visualization and computer graphics, 22(3), (Mar. 1, 2016), 1236-1247. |
| Keeler, Alice, “Google Slides: Make a Draggable Stack”, Teacher Tech with Alice Keeler, [Online] Retrieved from the Internet: <URL: https://alicekeeler.com/2017/04/10/google-slides-make-draggable-stack/>, (2017), 9 pgs. |
| Leyden, John, “This SMS will self-destruct in 40 seconds”, [Online] Retrieved from the Internet: <URL: http://www.theregister.co.uk/2005/12/12/stealthtext/>, (Dec. 12, 2005), 1 pg. |
| Long, et al., “Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction”, arXiv:1803.05541v1, Cornell University Library, Ithaca, NY, (Mar. 14, 2018), 11 pgs. |
| Marto, Anabela G R, et al., “DinofelisAR Demo: Augmented Reality Based on Natural Features”, 12th Iberian Conference on Information Systems and Technologies (CISTI), Lisbon, Portugal, (Jun. 2017), 6 pgs. |
| Nakajima, Yoshikatsu, et al., “Semantic Object Selection and Detection for Diminished Reality Based on SLAM with Viewpoint Class”, IEEE International Symposium on Mixed and Augmented Reality Adjunct Proceedings, (2017), 338-343. |
| Park, Jong-Seung, et al., “Virtual Object Placement in Video for Augmented Reality”, Advances in Multimedia Information Processing-PCM 2005: 6th Pacific Rim Conference on Multimedia, Jeju Island, KR, Proceedings (vol. 3767). Springer, Berlin, DE, (2005), 13-24. |
| Park, Jungsik, et al., “[Poster] Interactive deformation of real objects”, 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), (Sep. 10, 2014), 295-296. |
| Pixovert, “Create Ray Traced 3D Text in After Effects CS6”, Youtube Video, [Online] Retrieved from the Internet: <URL: https://www.youtube.com/watch?v=qGbVQRTrhXM>, (Mar. 24, 2013), 15 pgs.; 7:09 min. |
| Ranganathan, Parthasarathy, et al., “Energy-Aware User Interfaces and Energy-Adaptive Displays”, IEEE, Computer, vol. 39, Issue 3, (Mar. 20, 2006), 31-38. |
| Robinson, Ian, “Add 3D text to video footage”, Adobe.com/Youtube video, [Online] Retrieved from the Internet: <URL: https://helpx.adobe.com/after-effects/how-to/add-3d-text-video-footage.html>, (Mar. 10, 2017), 360 pgs.; 15:22 min. |
| Salas-Morena, Renato F, et al., “Dense Planar SLAM”, IEEE Intl. Symposium on Mixed and Augmented Reality (ISMAR), Munich, Germany, [Online] Retrieved from the Internet: <URL: http://www.doc.ic.ac.uk/'bglocker/pdfs/salas-moreno2014ismar.pdf>, (Jan. 1, 2014), 8 pgs. |
| Schettini, R, et al., “A segmentation algorithm for color images”, Pattern Recognition Letters, Elsevier, Amsterdam, NL, vol. 14, No. 6, (Jun. 1, 1993), 499-506. |
| Shohei, Mori, et al., “A survey of diminished reality: Techniques for visually concealing, eliminating, and seeing through real objects”, IPSJ Transactions on Computer Vision and Applications, vol. 9, No. 1, (Jun. 28, 17), 14 pgs. |
| Wang, Nanyang, et al., “Pixel2mesh: Generating 3d mesh models from single rgb images”, Proceedings of the European Conference on Computer Vision (ECCV); arXIv:1804.01654v2 [cs.CV], (2018), 16 pgs. |
| Ward, Caleb, “5 Creative Ways to Use Layer Stacking in After Effects”, RocketStock Blog, [Online] Retrieved from the Internet: <URL: https://www.rocketstock.com/blog/5-creative-ways-use-layer-stacking-effects/>, (2015), 9 pgs. |
| Yang, Jie, et al., “A Real-Time Face Tracker”, Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV'96), (Dec. 4, 1996), 142-147. |
| You, Suya, et al., “Hybrid Inertial and Vision Tracking for Augmented Reality Registration”, Proceedings IEEE Virtual Reality (Cat. No. 99CB36316), (1999), 8 pgs. |
| “U.S. Appl. No. 16/723,540, Amendment Under 37 C.F.R. 1.312 Filed Sep. 20, 2022”, 8 pgs. |
| “U.S. Appl. No. 16/723,540, Non Final Office Action mailed Jan. 26, 2022”, 19 pgs. |
| “U.S. Appl. No. 16/723,540, Notice of Allowance mailed Jun. 29, 2022”, 5 pgs. |
| “U.S. Appl. No. 16/723,540, PTO Response to Rule 312 Communication mailed Sep. 29, 2022”, 2 pgs. |
| “U.S. Appl. No. 16/723,540, Response filed Apr. 26, 2022 to Non Final Office Action mailed Jan. 26, 2022”, 10 pgs. |
| “U.S. Appl. No. 16/723,540, Supplemental Notice of Allowability mailed Aug. 15, 2022”, 8 pgs. |
| “U.S. Appl. No. 16/723,540, Supplemental Notice of Allowability mailed Sep. 29, 2022”, 2 pgs. |
| “U.S. Appl. No. 16/790,322, 312 Amendment filed Oct. 12, 2022”, 8 pgs. |
| “U.S. Appl. No. 16/790,322, Corrected Notice of Allowability mailed Feb. 15, 2022”, 2 pgs. |
| “U.S. Appl. No. 16/790,322, Notice of Allowance mailed Jul. 27, 2022”, 8 pgs. |
| “U.S. Appl. No. 16/790,322, Notice of Allowance mailed Aug. 31, 2022”, 8 pgs. |
| “U.S. Appl. No. 16/790,322, Notice of Allowance mailed Nov. 29, 2021”, 8 pgs. |
| “U.S. Appl. No. 17/249,092, Notice of Allowability mailed Aug. 12, 2022”, 2 pgs. |
| “U.S. Appl. No. 17/249,092, Notice of Allowance mailed May 4, 2022”, 12 pgs. |
| “U.S. Appl. No. 17/307,354, Advisory Action mailed Feb. 21, 2023”, 3 pgs. |
| “U.S. Appl. No. 17/307,354, Corrected Notice of Allowability mailed Mar. 24, 2023”, 2 pgs. |
| “U.S. Appl. No. 17/307,354, Final Office Action mailed Dec. 29, 2022”, 30 pgs. |
| “U.S. Appl. No. 17/307,354, Non Final Office Action mailed Jun. 24, 2022”, 29 pgs. |
| “U.S. Appl. No. 17/307,354, Notice of Allowance mailed Mar. 10, 2023”, 7 pgs. |
| “U.S. Appl. No. 17/307,354, Response filed Feb. 9, 2023 to Final Office Action mailed Dec. 29, 2022”, 13 pgs. |
| “U.S. Appl. No. 17/307,354, Response filed Sep. 20, 2022 to Non Final Office Action mailed Jun. 24, 2022”, 13 pgs. |
| “U.S. Appl. No. 17/505,370, Non Final Office Action mailed Oct. 17, 2022”, 16 pgs. |
| “U.S. Appl. No. 17/505,370, Notice of Allowability mailed Jun. 1, 2023”, 2 pgs. |
| “U.S. Appl. No. 17/505,370, Notice of Allowance mailed Jan. 13, 2023”, 8 pgs. |
| “U.S. Appl. No. 17/505,370, Response filed Dec. 21, 2022 to Non Final Office Action mailed Oct. 17, 2022”, 8 pgs. |
| “U.S. Appl. No. 17/506,478, Final Office Action mailed Dec. 16, 2022”, 36 pgs. |
| “U.S. Appl. No. 17/506,478, Non Final Office Action mailed Sep. 2, 2022”, 34 pgs. |
| “U.S. Appl. No. 17/506,478, Notice of Allowance mailed Feb. 24, 2023”, 13 pgs. |
| “U.S. Appl. No. 17/506,478, Notice of Allowance mailed Aug. 2, 2023”, 9 pgs. |
| “U.S. Appl. No. 17/506,478, Response filed Feb. 13, 2023 to Final Office Action mailed Dec. 16, 2022”, 10 pgs. |
| “U.S. Appl. No. 17/506,478, Response filed Nov. 17, 2022 to Non Final Office Action mailed Sep. 2, 2022”, 9 pgs. |
| “U.S. Appl. No. 17/527,376, Examiner Interview Summary mailed Jun. 1, 2023”, 2 pgs. |
| “U.S. Appl. No. 17/527,376, Final Office Action mailed Mar. 1, 2023”, 21 pgs. |
| “U.S. Appl. No. 17/527,376, Non Final Office Action mailed Jul. 5, 2023”, 20 pgs. |
| “U.S. Appl. No. 17/527,376, Non Final Office Action mailed Nov. 10, 2022”, 20 pgs. |
| “U.S. Appl. No. 17/527,376, Response filed Feb. 10, 2023 to Non Final Office Action mailed Nov. 10, 2022”, 12 pgs. |
| “U.S. Appl. No. 17/527,376, Response filed May 30, 2023 to Final Office Action mailed Mar. 1, 2023”, 12 pgs. |
| “U.S. Appl. No. 17/817,491, Non Final Office Action mailed May 10, 2023”, 15 pgs. |
| “U.S. Appl. No. 17/817,491, Notice of Allowance mailed Jul. 20, 2023”, 7 pgs. |
| “U.S. Appl. No. 17/817,491, Response filed Jun. 30, 2023 to Non Final Office Action mailed May 10, 2023”, 9 pgs. |
| “U.S. Appl. No. 18/073,280 , Response filed Mar. 20, 2024 to Non Final Office Action mailed Dec. 22, 2023”, 10 pgs. |
| “U.S. Appl. No. 18/073,280, Corrected Notice of Allowability mailed Jun. 6, 2024”, 2 pgs. |
| “U.S. Appl. No. 18/073,280, Examiner Interview Summary mailed Mar. 11, 2024”, 2 pgs. |
| “U.S. Appl. No. 18/073,280, Non Final Office Action mailed Dec. 22, 2023”, 23 pgs. |
| “U.S. Appl. No. 18/073,280, Notice of Allowance mailed May 24, 2024”, 8 pgs. |
| “U.S. Appl. No. 18/121,893, Non Final Office Action mailed Jul. 20, 2023”, 15 pgs. |
| “U.S. Appl. No. 18/121,893, Notice of Allowability mailed Oct. 25, 2023”, 2 pgs. |
| “U.S. Appl. No. 18/121,893, Notice of Allowance mailed Oct. 13, 2023”, 10 pgs. |
| “U.S. Appl. No. 18/121,893, Response filed Sep. 13, 2023 to Non Final Office Action mailed Jul. 20, 2023”, 8 pgs. |
| “Chinese Application Serial No. 201880006129.X, Response to Examiner Telephone Interview filed Sep. 22, 2022”, With English machine translation, 102 pgs. |
| “Chinese Application Serial No. 201880006129, Response filed Aug. 29, 2022 to Office Action mailed Jun. 17, 2022”, w/ English Claims, 14 pgs. |
| “Chinese Application Serial No. 201880006129.X, Office Action mailed Jan. 5, 2022”, w/ English translation, 18 pgs. |
| “Chinese Application Serial No. 201880006129.X, Office Action mailed Jun. 2017, 22”, w/ English translation, 13 pgs. |
| “Chinese Application Serial No. 201880006129.X, Response filed Apr. 20, 2022 to Office Action mailed Jan. 5, 2022”, 10 pgs. |
| “Chinese Application Serial No. 202080047024.6, Office Action mailed Jun. 29, 2023”, w/ English translation, 18 pgs. |
| “Chinese Application Serial No. 202080047024.6, Office Action mailed Nov. 30, 2022”, w/ English Translation, 16 pgs. |
| “European Application Serial No. 20775562.0, Response to Communication pursuant to Rules 161 and 162 filed Sep. 27, 2022”, 23 pgs. |
| “European Application Serial No. 19845741.8, Response filed Feb. 3, 2022 to Communication Pursuant to Rules 161 and 162 EPC mailed Jul. 27, 2021”, 19 pgs. |
| “European Application Serial No. 20751041.3, Response Filed Aug. 10, 2022 to Communication pursuant to Rules 161(1) and 162 EPC mailed Feb. 9, 2022”, 27 pgs. |
| “European Application Serial No. 23153345.6, Extended European Search Report mailed May 8, 2023”, 9 pgs. |
| “European Application Serial No. 23160064.4, Extended European Search Report mailed Jun. 22, 2023”, 7 pgs. |
| “International Application Serial No. PCT/US2020/070503, International Preliminary Report on Patentability mailed Mar. 17, 2022”, 9 pgs. |
| “Korean Application Serial No. 10-2021-7008906, Notice of Preliminary Rejection mailed Jun. 20, 2023”, w/ English translation, 9 pgs. |
| “Korean Application Serial No. 10-2022-7005953, Notice of Preliminary Rejection mailed Apr. 4, 2022”, w/ English Translation, 13 pgs. |
| “Korean Application Serial No. 10-2022-7005953, Response filed Aug. 3, 2022 to Office Action mailed Apr. 4, 2022”, w/ English Claims, 20 pgs. |
| “Korean Application Serial No. 10-2022-7045427, Notice of Preliminary Rejection mailed Mar. 13, 2023”, w/ English Translation, 15 pgs. |
| Singh, Gurjinder, et al., “Ubiquitous hybrid tracking techniques for augmented reality applications”, IEEE 2nd International Conference On Recent Advances In Engineering & Computational Sciences, (Dec. 21, 2015), 1-5. |
| “U.S. Appl. No. 18/073,280, Corrected Notice of Allowability mailed Aug. 14, 2024”, 2 pgs. |
| Number | Date | Country | |
|---|---|---|---|
| 20240029373 A1 | Jan 2024 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17581093 | Jan 2022 | US |
| Child | 18375693 | US | |
| Parent | 16721418 | Dec 2019 | US |
| Child | 17581093 | US |
