Patent Grant
11836764
Content such as news stories or other collections of live or recent content have traditionally been presented to consumers in a heavily controlled and curated format. Early formats for news presentation included newspapers and magazines. Later formats included broadcast radio and television news. Traditional media and news sources for time sensitive content are typically heavily associated with corporations or well-known persons that gather and present information about current events and happenings. In the modern Internet era, many such news sources have fragmented, but core aspects of information gathering and presentation often remain associated with professionals gathering and sharing information in a way that is tied to an individual identity. While such practices have been able to support some news structures with valuable analysis, the process for generating stories where select professionals filter information and generate stories is time consuming and introduces significant delay between an event occurring and presentation of information to a news consumer.
Various ones of the appended drawings merely illustrate example embodiments of the present disclosure and should not be considered as limiting its scope.
Systems and methods described herein relate to automated presentation of content collections, including processes for generating, selecting, and continuously presenting collections of content to a user.
“Content,” as described herein, refers to one or more images or video clips captured by an electronic device, as well as any associated metadata descriptions and graphics or animation added to the image or video clip. This includes metadata generated by an electronic device capturing an image or video, as well as metadata that may be associated later by other devices. A “piece of content” refers to an individual image or video clip captured by a client device with any changes made to the image or video clip (e.g. transformations, filters, added text, etcetera.) Individual pieces of content may have multimedia elements, including drawings, text, animations, emoji, or other such elements added along with image or video clip elements. Content captured by an image sensor of client device may be sent, along with any added multimedia elements from a user, via a network to other client devices as part of a social sharing network. Individual pieces of content may have time limits or associated display times, which are within a display threshold set by a system. For example, an embodiment system may limit video clips to 10 seconds or less, and may allow users to select display times less than 10 seconds for image content.
A “content message,” as referred to herein, refers to the communication of content between one or more users via the system. Content may also be sent from a client device to a server system to be shared generally with other system users. Some embodiments limit content messages to images or video clips captured using an interface that does not allow the content to be stored and sent later, but instead uses an associated content message with a single piece of content and any added multimedia to be sent before any other action is taken on the device. Embodiments described herein relate to methods of grouping such content into content collections (e.g. stories.) In various systems, content messages may be sent from one individual user to another individual user, as, for example, an ephemeral message in addition to the ability to send content messages to a server computer system for inclusion in various content collections.
A “content collection,” as described herein, is an ordered set of content. The individual pieces of content that make up a particular content collection may be related in a variety of different ways. For example, in some embodiments, a content collection includes all pieces of content marked as public that are sent to a server system from a particular user within a certain time frame (e.g. within the past 24 hours.) Access to such a content collection can be limited to certain other users (e.g. friends) identified by the user that generates the content for the collection. In some other embodiments, content collections include pieces of content from different users that are related by time, location, content, or other metadata. In some embodiments, content collections are referred to as stories. A story or content collection may be generated from pieces of content that are related in a variety of different ways, as is described in more detail throughout this document. Moreover, multiple media collections may be viewed in sequence. For example, a user may view a number of media collections by viewing one media collection and then moving on to the next media collection. Since each media collection comprises any number of media content items, it may be cumbersome and time consuming to navigate the media collections.
Example embodiments provide for a more efficient screen navigation for media collections by introducing an opt-out interstitial that allows a user (e.g., a viewer of the media collection) the opportunity to choose not to view the user media collection that is next in the auto-advance queue. Accordingly, instead of simply auto-advancing to the next media collection, the user (viewer) may choose not to view the media collection that is up next by skipping the next media collection. In this way, the user (viewer) can view only the media collections the user or she wishes to view.
In one example, an opt-out interstitial is displayed to the user indicating information about the next media collection and allowing the user to view the next media collection or skip the next media collection. For example, the user may tap anywhere on a touch screen of a display of a computing device to advance beyond to view the upcoming media collection.
In another embodiment, the opt-out interstitial will automatically advance to the next media collection after a fixed period of time (e.g., based on a timer). In this embodiment of an opt-out interstitial with a timer, a user may tap anywhere on a touch screen of a display of a computing device to advance beyond to view the upcoming media collection.
In some embodiments, two user devices may each be associated with accounts, and the accounts may be identified as connected in a communication system. Throughout a given day, one user captures images or video clips (e.g. pieces of content) and sends a content message for each piece of content to the communication system. Some of these pieces of content are identified for inclusion in a semi-private content collection associated with the sending device. Some of the pieces of content are identified as available for public content collections. Because the two users are connected, the second user is able to access the semi-private content collection associated with the first user account, which contains only pieces of content generated by devices of the first user. When a device of the second user connects to the communication system, the second user's device receives interface information indicating that the first user has a content collection with updated pieces of content. The interface information sent to the second user's device also includes indications for other user's content collections that have been updated, so long as the second user is associated with or otherwise authorized to view the content collections. Additionally, the interface information may include details for content collections that are created from content messages sent from any other system user. These live or location based content collections may be curated or automatically generated by the communication system. When the second user selects any one of the content collections described in the interface information, the second user's device begins to display each piece of content from the selected collection in order. Each piece of content is associated with a display time less than a threshold (e.g. 10 seconds or less). When the device reaches the end of the selected content collection, rather than stopping display of content, the device autoforwards to a next content collection. The communication system can determine which content collection to play next in a variety of different ways. In some embodiments, content collections are selected first from associated user content collections having a most recent unseen update. After all content collections from such friend accounts are displayed, public content collections may be selected based on proximity, time, interestingness, or other such metrics. In other embodiments, other user selections or preferences may be used to select a next content collection. An opt-out interstitial may be presented prior to the autoforward process, allowing interruption of the autoforward, or adjustment of next selected content collection.
In some embodiments, the communication system receives sufficient content from enough users that the system may generate and display content collections indefinitely. Additionally, some systems may allow automatic insertion of advertising elements between some or all content collections. Further still, some systems allow a user to jump to a next or previous piece of content or a next or previous content collection in addition to displaying pieces of content and content collections in a progressive manner that automatically proceeds to the next piece of content and then the next content collection over time. Additional embodiments and details are described below.
Networked system 100 then may be used in communication of content messages from client devices 110, 120 to a system 150, and communication of content collections from the system 150 to the client devices 110, 120. As shown in
Instead of individual client devices 110, 120,
In other embodiments, rather than considering set geofences or groups of users, a system may generate content collections 114, 124 for each client device 110, 120 individually. In such an embodiment, whenever a user navigates to a content collections interface within an application operating on a client device 110, 120 (e.g. as illustrated in
In the illustrated example of
In various embodiments as described below, this curation may be performed by system operators using a curation tool, or may be performed by automatic analysis and selection performed by the communication system. One example embodiment segments users by local area. Content collections 114, 124 for a client device 110, 120 are generated from the most recent content messages 260, 262 that were generated in the client device 110, 120's current local area. Such local content messages 260, 262 for a content collection 114, 124 can further be filtered based on image quality and image content. Image content may be used to prevent excess content duplication, to provide a variety of different content, to provide content identified as newsworthy (e.g. images associated with famous people), or based on any other such content filtering selections. Image content may also be analyzed to identify content duplication, and to avoid placing extremely similar content (e.g. videos of the same event from similar angles) in a single content collection 114, 124. Additionally, the server system 250 can analyze trends associated with incoming content messages 260, 262 from other local areas to generate content collections 114, 124 based on the trends identified by the system. Additional details related to curation and content collection generation are discussed below with respect to
The user may physically touch the client device 300, and in response to the touch, the client device 300 may determine tactile data such as touch location, touch force, or gesture motion. In various example embodiments, the client device 300 displays a home screen operable to launch applications or otherwise manage various aspects of the client device 300 in a content viewing area 397. In some example embodiments, the home screen provides status information such as battery life, connectivity, or other hardware statuses. The user can activate user interface elements by touching an area occupied by a respective user interface element. In this manner, the user interacts with the applications of the client device 300, including applications that implement content collection display and autoforwarding as described herein.
In certain embodiments, content may be presented within the touch screen of client device 300 operating as a client device 110, 120, and a touch input may be used to initiate a communication to a server system 150 to request content collections 114, 124 and to autoforward through a continuing set of content collections 114, 124, as described herein.
Many varieties of applications 910 (also referred to as “apps”) can be executing on the machine 1000, such as native applications (e.g., applications programmed in Objective-C, Swift, or another suitable language running on IOS™, or applications 910 programmed in Java running on ANDROID™) mobile web applications (e.g., applications written in Hypertext Markup Language-5 (HTML5)), or hybrid applications (e.g., a native shell application that launches an HTML5 session). For example, the client device 300 includes a messaging app, an audio recording app, a camera app, a book reader app, a media app, a fitness app, a file management app, a location app, a browser app, a settings app, a contacts app, a telephone call app, or other apps (e.g., gaming apps, social networking apps, biometric monitoring apps). In another example, the client device 300 includes a social messaging app such as that, consistent with some embodiments, allows users to send public content to a server system 250, and to receive content collections 114, 124 from the server system 250. Such a application may additionally enable exchange of private ephemeral image and/or video content messages in addition to communication of content messages 260, 262 for inclusion in stories and receipt of content in the form of content collections 114, 124 for display on client device 300.
In some embodiments, additional elements are inserted between the end of one content collection 114, 124 and the beginning of the next content collection 114, 124. For example, and end-of-collection graphic is presented, in some embodiments, after content LA989 is displayed for the associated display time and before content 50 is displayed. In some embodiments, this element is an advertising element, which can include images, text, video, or multiple instances of any such element presented as an advertisement. In other embodiments, such advertising elements are presented between each story. In some embodiments, such advertising elements are presented between stories after a threshold time period, after a set number of content collections 114, 124, or based on any combination of such elements. Multiple advertising elements or multiple sets of advertising elements may be presented between content collections 114, 124 on user devices as described herein. In some embodiments, “sponsored” content collections are content from an advertising account. These sponsored content collections may be periodically selected by a system based on advertising metrics within the system. Such sponsored content collections are, in some embodiments, selected in a fashion similar to the selection of advertising elements discussed above, and can include pieces of content from devices, as well as graphical, video, or image content generated using an advertising tool and submitted to a content database as sponsored content.
Thus, as described herein, a user accesses content collections 114, 124 via an interface of a mobile device. The interface may include information about the available content collections, and may order the content collections 114, 124 based on details of the content in the collections. For example, in one embodiment, a user may have an account associated with a number of other accounts (e.g. friends.) Each friend account may have an associated content collection that includes pieces of content sent to a server system 250. In one embodiment, a content collection 114, 124 for each friend account includes pieces of content selected for a personal story and sent to a server computer system within the past 24 hours, with older pieces of content removed from the content collection 114, 124. Additionally, available content collections, in some embodiments, include content collections 114, 124 associated with public events or locations. Each of these content collections 114, 124 may be presented and ordered in a user interface on a user's mobile device. Further still, “live” content collections may be available, which present curated or automatically generated collections of content filtered from large amounts of content sent to a system.
In embodiments described herein, selection of an individual content collection from a set of presented content collections 114, 124 may then lead to a continuous and ongoing presentation of additional content collections 114, 124 or stories. This continuous presentation occurs as part of an autoforward operation on a mobile device which displays subsequent content collections after the initial content collection 114, 124 selected by a user has finished displaying.
For example, in one embodiment, a user may select an interface associated with a first content collection from a first friend. The example content collection can have six pieces of content which are each ten seconds long. After sixty seconds, assuming no further input from the user, the device will autoforward to another content collection 114, 124. In some embodiments, the selection of a next content collection may be based on a source of the content collection 114, 124. For example, some embodiments autoforward to the next content collection from a friend account based on which friend account has a story with the most recently added piece of content that has not been seen. After all content collections 114, 124 with previously unseen content have been displayed, content collections 114, 124 from local events may similarly be played automatically in order based on a most recent unseen update. After all local content collections with unseen pieces of content have been displayed, other collections of content are automatically displayed based on system settings. The content collections 114, 124 may be selected based on distance, time, interest, user preferences, or any other such system information. In a system that receives sufficient amounts of content messages 260, 262 which are available for stories, a mobile device can continue auto forwarding to present additional stories indefinitely, with time, location, quality, interestingness, or other filtering factors relaxed as needed to provide additional content collections.
Additionally, in some embodiments, an advertisement or other segmenting element may be displayed between some or all content collections 114, 124. For example, in one embodiment, following display of the final piece of content for each content collection 114, 124, a standard end-of-collection graphic may be displayed for a set period of time. In other embodiments, one or more advertisement images or video clips (e.g. advertisement elements) are displayed for a set period of time before autoforwarding to display of the next content collection. In some embodiments, both the end-of-collection graphic and advertisement elements are used.
As described above, then, a system can receive content messages 260, 262 from a wide variety of users, and use pieces of content from these messages to generate different types of content collections 114, 124 or stories. A user can access these stories via a device, and the system is able to autoforward through an ongoing sequence of content collections 114, 124, with a next content collection 114, 124 selected in a variety of different ways.
In some embodiments, in addition to automatically presenting content collections 114, 124 for a pre-selected time, a user interface allows a user to navigate through pieces of content within a content collection 114, 124 and between different content collections 114, 124.
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. Similarly, values within the message video payload 408 may point to data stored within a video table, values stored within the message annotations 412 may point to data stored in an annotation table, values stored within the message story identifier 418 may point to data stored in a content collection table, 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. In some embodiments, the message receiver identifier 424 may be used to associate content of a message 400 with a particular content collection or to make the content available for curated stories. For example, one message receiver identifier 424 may be associated with the user's personal content collection that is only available for viewing by friends. Another message receiver identifier 424 may be for a pool of content presented to a system curator that generates public content collections using submitted content messages 260, 262.
Data from such content messages 260, 262 as well as other sources (e.g. curation tools, advertisement tools, etc.) are, in some embodiments, stored in a database of a server computer system. While the content of the database is discussed as a number of tables, it will be appreciated that the data could be stored in other types of data structures (e.g., as an object-oriented database).
One example database includes message data stored within a message table. The entity table stores entity data, including an entity graph. Entities for which records are maintained within the entity table may include individuals, corporate entities, organizations, objects, places, events etc. Regardless of type, any entity regarding which the messaging server system 250 stores data may be a recognized entity. Each entity is provided with a unique identifier, as well as an entity type identifier.
The entity graph furthermore stores information regarding relationships and associations between entities. Such relationships may be social, professional (e.g., work at a common corporation or organization) interest-based or activity-based, merely for example. These relationships may, for example, provide access to semi-private content collections 330, 331, such that a user device is sent interface information for a content collection 291, 310, 320 and allowed to select and view the associated content of another user if a relationship is established between the users.
The database, in some embodiments, also stores annotation data, in the example form of filters, in an annotation table. Filters for which data is stored within the annotation table are associated with and applied to videos (for which data is stored in a video table) and/or images (for which data is stored in an image table). Filters, in one example, are overlays that are displayed as overlaid on an image or video during presentation to a recipient user. Filters may be of varies types, including user-selected filters from a gallery of filters presented to a sending user by the messaging client application when the sending user is composing a message. Other types of filers include geolocation filters (also known as geo-filters) which may be presented to a sending user based on geographic location. For example, geolocation filters specific to a neighborhood or special location may be presented within a user interface by the messaging client application, based on geolocation information determined by a GPS unit of the client device 110. Another type of filter is a data filter, which may be selectively presented to a sending user by the messaging client application, based on other inputs 398 or information gathered by the client device 110 during the message creation process. Examples of data filters include current temperature at a specific location, a current speed at which a sending user is traveling, battery life for a client device 110 or the current time.
Other annotation data that may be stored within the image table 308 is so-called “lens” data. A “lens” may be a real-time special effect and sound that may be added to an image or a video.
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. Similarly, the image table stores image data associated with messages for which message data is stored in the entity table 302. The entity table 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.
A content collection table stores data regarding collections of messages and associated image, video or audio data, which are compiled into a collection (e.g., a story, content collection, 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). A user may create a “personal story” or content collection 291, 310, 320 in the form of a collection of content that has been created and sent/broadcast by that user. To this end, the user interface of the messaging client application 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, such a live content collection may constitute a curated set of user-submitted content from various locations and events. Users, whose client devices 110 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, 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 291, 310, 320 is known as a “location story”, which enables a user whose client device 110 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 use 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). In various other embodiments, other types of content collections 291, 310, 320 may be identified and structured within a database using system operator curation tools or automatic computer based analysis, as described herein.
I/O module 552 may include any hardware, firmware, or software elements needed to send and receive content and content collections 291, 310, 320 to client devices 110, 120 via a network 140. Content characteristic analysis module 554 may include devices, processors, and software to analyze images from pictures and frames of video clips, and then determine content characteristics, including details about when and where a picture or video was generated. In certain embodiments, content characteristic analysis module 554 may be implemented as a plurality of different modules, each analyzing a different content characteristic, including any content characteristic described herein.
Machine vision module 556 describes a particular module that may be used to identify content characteristics based on the content of an image or images in a video. Machine vision module 556 includes hardware, firmware, and/or software for analyzing and understanding content. In one embodiment, machine vision module 556 is associated with a dictionary comprising image and video content values. Objects identified in images of a piece of content and the arrangement of the identified objects therein may be used by machine vision module 556, in such an embodiment, to select one or more content values from the dictionary as content characteristics. For example, a simple such machine vision module 556 may identify a ball in an image, and select the values ball and game as content characteristics. A more complex module may identify the type of ball as a basketball, and include “basketball” as a characteristic value. A still more complex machine vision module 556 may identify a basketball, a crowd, a court color, and an elevated perspective of the court to identify “professional basketball game” and “basketball arena” as content values for the content. The same complex machine vision module 556 may identify a basketball, a park background, and a concrete court surface and associate “amateur basketball game” and “playground basketball” as content values for the content.
These content values generated by machine vision module 556 can then be stored in content database 558 along with other characteristic values. Such characteristic values can include: one or more content values (i.e., an identification of what's in the content); a generation time; a generation time period; a generation location; a generation area; one or more quality values, any metadata value associated with content, an identifier for a particular piece of content, or any other such values. In some embodiments, a copy of content may be stored in content database 558 with location information, capture time information, and any other such information about a piece of content. In certain embodiments, content database 558 may anonymously store details about content use. For example, client devices 110, 120 can communicate details about presentation of the content on a screen of the device, and about screenshots taken of the content. Anonymous metrics about how often a piece of content is viewed as part of a content collection 291, 310, 320, how long the content is viewed for, and how frequently screenshots are taken may then be measured by server system 550, as part of analysis by content characteristic analysis module 554, with the resulting data stored in content database 558. In some embodiments, content database 558 may include this content information with any content or content message information discussed above with respect to
Account management module 562 includes application or interface functionality to enable users to manage entity/account relationships via communications between user devices and server system 550. Account management module 562 may also manage an individual user's content collections 291, 310, 320 as described herein.
Curation tools 564 include tools available to system operators or advertisers to generate and present content collections 291, 310, 320 from large amounts of content received at server system 550 and made available by user selection to be included in public content collections (e.g. live content collections, location content collections, content based content collections, etcetera.) Similarly, automatic content collection generation module 560 may filter through large numbers of received pieces of content to generate content collections grouped by location, time, topic, or on any other such basis. In some embodiments, elements of automatic content collection generation module 560 are used to filter the number of pieces of content provided to curation tools 564 to a smaller number (e.g. filtering 10000 received pieces of content to provide 500 pieces of content to curation tools 564 for review by system operators.)
In some embodiments, automatic content collection generation module 560 may then use information about pieces of content from content database 558 to select particular pictures or videos for an automatically generated content collection. In various embodiments, automatic content collection generation module 560 may use complex scoring, weighting, and other rules in generating a content collection 291, 310, 320. For example, certain embodiments may function such that all pieces of content meet a quality threshold unless a trend having certain threshold characteristics is identified and all content associated with the trend are below the quality threshold. Another embodiment may weight content collection generation based on a number of content collections 291, 310, 320 currently available in a local geographic area 204, 206. In still further embodiments, any number of complex rules may be applied together as part of content collection generation to filter images and videos for a content collection 291, 310, 320 based on time, location, content, and quality.
Content collection 291, 310, 320 selection and autoforwarding module 566 is used to select one or more next content collections 291, 310, 320 to be sent to a client device 110 following selection of an initial content collection for display on the device and after an autoforward message requesting input or selection of a next content collection is received. In some embodiments, initial sets of content collections are cached on a client device 110, and module 560 only interacts with a device after the locally cached content collections are presented. In other embodiments, different sets of rules are applied to different sets of content collections 291, 310, 320. For example, content collection selection and autoforwarding module 566 may apply a most recent update order to selecting a next content collection, and a user based interest scoring to a selection order for all other content collections. In other embodiments, other sets of selection rules are applied to determine which content collection 291, 310, 320 will be selected as an automatically displayed (e.g. autoforwarded) next content collection for a device. Content collection 291, 310, 320 selection and autoforwarding module 566, in some embodiments, also manages communication of elements to be displayed between content collections 291, 310, 320, including advertising elements or end-of-collection graphics.
In some embodiments, quality scoring within automatic content collection generation module 560 and/or content collection selection and autoforwarding module 566 may be used to filter or select pieces of content for a particular content collection and to filter different content collections for presentation to a user. A quality score, in some embodiments, is based on a detailed exposure analysis of an image or a sample of frames in a video clip. For example, a histogram of luminance may be calculated, and a quality may be assigned to the image or video based on a correlation of the histogram with a quality score. Such a correlation may be based on a table or function associating certain histogram patterns with selected quality scores, or may be generated in any other such matters. For video where multiple sample frames are analyzed, an average of scores for each frame may be used to select a score, a worst score for an individual frame of all the analyzed frames may be used, or any such combination or function of multiple scores or selections of scores may be used.
In some embodiments, motion-blur estimation of an image or of selected video clips is used as a part of the quality score. Such motion blur estimation may, for example, be based on a calculation of energy gradients on detected edges, or other such motion estimations. For video clips, identifying video frames with motion blur above a threshold amount may trigger analysis of additional sample frames to determine how much of the video is impacted by motion blur, or to identify when a shakiness of a camera sensor impacts an entire video. In certain embodiments, a system may use a threshold for video motion or “shakiness” to filter out videos with camera motion or shake above the threshold. In other embodiments, a shakiness or motion score may simply modify an overall quality score. In other embodiments, both a hard threshold as well as an input to an overall quality score may be used.
In some embodiments, images or sample video frames may be analyzed for compression artifacts or other image processing artifacts that indicate a lower image quality or errors introduced into an image due to various compression or communication problems. Such artifacts may include image ringing, image contouring, staircase noise along curving edges, posterizing artifacts, or block boundary artifacts. Videos may be analyzed for additional video based compression artifacts such as block boundary artifacts associated with motion compensation or mosquito noise that may be identified by analysis of selected frames of a video. The presence of such compression artifacts and the intensity of any identified compression artifacts may be used to modify or select a quality score for an image or video clip. In addition to such information loss associated with compression or lossy transmission, images and video frames may also be analyzed for other types of noise. For example, variance in smooth or uniform regions of an image may be analyzed for noise artifacts, such as noise associated with a low quality or malfunctioning camera sensor, low quality or dirty optics of a camera, or any other such source of noise that may lower, corrupt, or modify the data in the image.
Audio data is also used for quality scoring of video clips, in some embodiments. In such embodiments, various audio metrics such as dynamic range, noise levels, language clarity or language recognition data, or any other such audio based information may be used to select an audio quality score or to impact an overall quality score. Different audio data metrics, in some embodiments, are used based on a determined audio environment. For example, a video clip with speech may be assessed differently than a clip with music, or video clips with different types of music may be assessed differently. Additionally, audio spotting to identify objectionable audio content (e.g. taboo spoken language or explicit music lyrics) can be used for a quality score or a quality threshold flag, in some embodiments.
In addition to quality scores based on image quality, some scores may be based on image content. For example, as mentioned above, image processing may be used to identify objectionable content such as nudity or taboo language within an image or video clip. In some embodiments, a preferred orientation (e.g. landscape or portrait) may be used for quality scoring. Some systems may additionally use image recognition to identify desirable content. For example, in some systems, images of animals or images of objects associated with a party environment are identified as desirable. The presence of such images within video frames or pictures may be used to increase an overall quality score, or to generate a content score.
Feedback or machine learning is used, in certain embodiments, to select or set a quality score. Such systems may use neural networks to extract features identified as preferred or interesting to system users. For example, in some embodiments, images selected by system users for inclusion in one or more stories may be selected for a learning set. Some or all images and video frames from the learning set may have features extracted and analyzed using a feed-forward artificial neural network such as a convolutional neural network to identify desirable elements of the images, and to automatically assign an interestingness score to future images received based on the neural network generated with the learning set. Feature maps used within such neural networks may be based on any analysis metric described herein, including image quality features and image content features. In some embodiments, learnable filters may be selected and automatically updated based on a database of images from image processing services used for content analysis of images or video frames. In other embodiments, any other such sources may be used for learnable filters. Such analysis may be applied to both image elements of content as well as to audio elements of videos.
Other feedback mechanisms may be used in various embodiments. For example, in some embodiments, a content source, user, or account associated with generating an image or video clip may have associated history data. In some embodiments, association of a content source with a history of content selected by system users or associated with high quality ratings may be used as an input to a quality score, or may be used as a quality flag. Various content source metrics such as the quality history, number of images sent, number of system followers or interconnections, or other such metrics may be used.
In some embodiments, multiple different quality scores may be associated with each individual piece of media content, so that an image may have an exposure quality score, a noise quality score, a motion quality score, a compression quality score, a resolution quality score, an audio quality score, a content score, or any other such separate quality scores. In such embodiments, an overall quality score based on any combination of such individual quality scores may also be provided. Further, as mentioned above, some or all of such quality scores may individually be used to reject certain pieces of media content automatically, with only the images or videos that exceed all thresholds being presented to a system user. Such a system may have any number of thresholds based on separate quality scores or multiple different combinations of different quality scores. In some embodiments, such thresholds may be variable to present a target number of images and/or videos to a system user. Similarly, different types of images or video clips may be assessed differently, such that weights may be applied to different images differently based on content, location, time, proximity in location or time to a holiday or news event, overall environment, or other such information. The metrics and weights for any of the above, in some embodiments, are applied differently to a selfie taken inside than to concert footage taken outdoors at night. Further, aggregated interest and quality scores for complete sets of content collections 291, 310, 320 (e.g. balanced or weighted scoring for pieces of content within a content collection 291, 310, 320) are used to sort and select content collections 291, 310, 320 for presentation to a user.
Device 610 then begins displaying content of the content collection 291, 310, 320 in operation 669. When display of a first content collection is complete or expected (e.g. within a threshold time of the end of a final piece of content or based on some other content collection ending trigger), device 610 displays an opt-out interstitial, and sends an autoforward communication to server system 650 requesting additional content in operation 670, and receives content from a next content collection in operation 672. In embodiments with caching, the initial autoforward communication may occur based on a trigger associated with an end of the cached content. Operations 674A-N then proceed with the device 610 requesting additional content based on either autoforward operation or user navigation inputs. For example, if a user is near the end of a content collection 291, 310, 320, and inputs a “next content collection” command (e.g. input 393), a request is sent, in some embodiments, from device 610 to server system 650 and content for a next content collection is sent in return. This proceeds with the content displayed in continuing display content operation 669 until an input is received at device 610 to end content display as part of operation 676. For each trigger associated with the end of a content collection 291, 310, 320, an opt-out interstitial is displayed following the display period for the last content element, and associated communications between the mobile device 610 and server computer are sent, depending on inputs to skip or select the next content collection indicated by the opt-out interstitial. In various embodiments, the opt-out interstitial may additionally be preceded or followed by and advertising element, or may include an advertising element along with information about the next expected content collection. If an input to skip a next indicated content collection is received, the system may display an additional opt-out interstitial indicating a new next content collection. This process may proceed indefinitely, with a user rejecting the next indicated content collection, and a new interstitial presented with a refreshed indicator for a new content collection selected by the server computer.
As described above, example embodiments allow users to generate one or more media content items (e.g., images, photographs, video) to be included in a media collection. The media content items may further comprise text, audio, media overlays or other creative tools as explained above. The media collection may be created by the user, other users, or an entity (e.g., associated with a messaging system, an organization, and event, and so forth). Moreover, multiple media collections may be viewed in sequence. For example, a user may view a number of media collections by viewing one media collection and then moving on to the next media collection. Since each media collection comprises any number of media content items, it may be cumbersome and time consuming to navigate the media collections.
Example embodiments provide for a more efficient screen navigation for media collections by introducing an Opt-Out Interstitial that allows a user (e.g., a viewer of the media collection) the opportunity to choose not to view the user media collection that is next in the auto-advance queue. Accordingly, instead of simply auto-advancing to the next media collection, the user (viewer) may choose not to view the media collection that is up next by skipping the next media collection. In this way, the user (viewer) can view only the media collections the user wishes to view.
For example, a computing device may cause to a first media collection of a plurality of media collections to be displayed (e.g., on the computing device or other computing device).
The computing device 700 may determine a second media collection of the plurality of media collections to be displayed after the first media collection. For example, the plurality of media collections may be a sequence of media collections determined in advance, or a sequence of media collections that are determined on the fly as the user is viewing the media collections (e.g., the computing device 700 may determine the next media collection to display as the first media collection is being displayed). The computing device 700 may generate an opt-out interstitial comprising information (e.g., a media collection name, a user associated with the media collection (e.g., the creator of the media collection), a time period associated with the media collection, a location or event associated with the media collection, etc.) associated with the second media collection. The opt-out interstitial may be a graphical user interface that is to be displayed in between two media collections (e.g., after the first media collection and before a second media collection). The opt-out interstitial may be generated in advance (e.g., for a sequence of media collections determined in advance), may be generated as the first media collection is being displayed, or the like.
In other embodiments, rather than displaying alternating instructions requiring action, only the “skip” action has associated instructions, and the next content collection may autoplay if the input for skipping the next content collection is not received within a threshold amount of time. If a skip input is received, an additional interstitial display may be presented for the following content collection, with a new time period to receive a skip input. This process then repeats until no skip input is received, or until another input to move to a different operation (e.g. other than display of a next content collection) is received. In certain embodiments, after one or more skip inputs are received, an additional UI input for selecting a particular content collection or directing the next selection toward a preferred type or content element of content collections 291, 310, 320 may be presented. This may enable the next set of content collections to be based on a selected input (e.g. to select animal collections, sports collections, news collections, etc.)
The computing device 700 may detect a last media content item being viewed in the first media collection and, after the last media content item in the first media collection is viewed, the computing device 700 may cause the generated opt-out interstitial comprising information associated with the media content item to be displayed. In one example, an opt-out interstitial is displayed to the user indicating information about the next media collection and allowing the user to view the next media collection or skip the next media collection, as explained above. For example, the user may tap anywhere on a touch screen of a display of a computing device 700 to advance beyond to view the upcoming media collection. In another embodiment, the opt-out interstitial will automatically advance to the next media collection after a fixed period of time (e.g., based on a timer). In this embodiment of an opt-out interstitial with a timer, a user may tap anywhere on a touch screen of a display of a computing device 700 to advance beyond to view the upcoming media collection.
In one example, a user may interact with the computing device 700 to indicate an option for the next media collection. For example, the user may indicate that the user wishes to skip the next media collection or to view the next media collection. The user may indicate an option by tapping on a touch screen, selecting a menu item in the GUI, using a swiping gesture, using a pinching gesture, interacting with a button or other input device on the display screen or computing device 700, and so forth. For instance, the user may indicate that the user would like to advance (e.g., skip) to the next media collection in the queue by a manual right-to-left swipe on the opt-out interstitial GUI and a user may indicate that the user would like to view the next media collection by a tap on the GUI. A user may indicate that the user would like to view the previous media collection by manually swiping left-to-right, in another example. The opt-out interstitial GUI may include an option to close the opt-out interstitial GUI. Closing out the opt-out interstitial GUI may result in closing the media collection.
If the computing device 700 detects an interaction with the opt-out interstitial indicating an option to view the next media collection, the computing device 700 may cause the next media collection to be displayed, as shown in
In one example, if the next media collection is a media collection that a user has previously viewed, the opt-out interstitial is not shown and instead, the next media collection starts playing immediately.
In one example, a full iteration and variant of the opt-out interstitial includes additional visual hints of what is “up next.” Rather than relying on on-screen arrows, for example, a hint of the upcoming/outgoing content may be made as part of the primary visual affordance. In another example, advertisements may be placed on the interstitial screen such as sponsored media collections. The advertisements can be related to the content just viewed.
In one example, different pathways of content that the user can follow on the interstitial screen can be presented rather than just moving on to the next sequential piece of content. Some of the pathways could be related to the content just viewed while others could contrast with the content just viewed.
Method 800 begins with operation 802, including causing, by a computing device (e.g. a mobile device 700 or any device such as machine 1000), a first media collection of a plurality of media collections to display on the computing device 700. Operation 804 then involves determining, by the computing device 700, a second media collection of the plurality of media collections to be displayed after the first media collection. In operation 806, the computing device 700 generates an opt-out interstitial comprising information associated with the second media collection. In operation 808, the computing device 700 detects a last media content item being viewed in the first media collection, and in operation 810, after the last media content item is displayed, displaying the generated opt-out interstitial comprising the information associated with the second media collection.
Various additional embodiments may operate where the computing device 700 performs operations such as detecting an interaction with the opt-out interstitial indicating an option to skip the second media collection, determining a third media collection of the plurality of sequential media collections to be displayed after the second media collection, generating an opt-out interstitial comprising information associated with the third media collection, and/or displaying the generated opt-out interstitial comprising the information associated with the third media collection, instead of displaying the second media collection.
In some embodiments, an advertising element may be displayed before or after the opt-in interstitial, in accordance with various rules for presenting advertising elements as described herein. In some embodiments, an opt-in interstitial may include a frame within the interstitial which presents an advertising element. Tap or swipe inputs, or other such inputs, may skip the advertising element, in some such embodiments. Similarly, failure to take an action while the advertising element is presented within the opt-out interstitial may result in an autoforward operation to the next content collection following the advertising element concluding an associated display period.
Additional embodiments may further include corresponding server operations to curate and provide content collections 291, 310, 320 to a mobile device 700, with interface elements including opt-out interstitial elements. Such embodiments may include operations as part of a method performed by a server computer that correspond to operations performed on a mobile device 700, such as the operations of method 800. Similar embodiments may include server devices configured to curate and provide information, and computer readable instructions performed by a server computer that, when executed by processors of the server computer, cause the server computer to curate and provide user interface elements including an opt-out interstitial.
One such embodiment may be a method for network communication of image based content collections, the method comprising operations detailed below. An initial operation may involve storing, at a database of a server computer system, a plurality of content messages from a plurality of client devices 110, 120, wherein a corresponding piece of content from each content message 260, 262 is associated with a display time less than a threshold display time. The method may then continue with generating, by the server computer system, a first plurality of content collections from the plurality of content messages, each content collection 291, 310, 320 of the first plurality of content collections comprising associated content from one or more content messages 260, 262 of the plurality of content messages. A subsequent operation then involves communicating, from the server computer system to a first mobile device, interface information for each content collection 291, 310, 320 of the first plurality of content collections, the interface information comprising an opt-out interstitial comprising information associated with the second media collection. The server then performs an operation for receiving, from the first mobile device, a first content collection request associated with a first selection, at the first mobile device, of a first content collection of the first plurality of content collections. The server then performs operations for receiving, from the first mobile device, a communication associated with completion of a presentation of the first content collection at the first mobile device and display of the opt-out interstitial. The server computer then initiates communication of a second content collection from the server computer system to the first mobile device for display on the first mobile device in response to receipt of the content collection request and the communication, wherein the second content collection is selected automatically by the server computer system.
Some embodiments may further operate where the first content collection comprises a first set of content from a first set of content messages of the plurality of content messages, wherein the first set of content messages are received from a second mobile device associated with a second user account of the server computer system; and where the first user device is associated with a first user account of the server computer system. Some embodiments may operate where the first user device and the second user device are associated with the server computer system.
Some such embodiments may operate where the first content collection is selected by the server computer system for the first plurality of content collections based on the association between the first user account and the second user account.
Some such embodiments may operate where the first set of content messages comprises all content messages 260, 262 received at the server computer system from the second mobile device within a content collection threshold time prior to receipt of the first content collection request at the server computer system. Still further embodiments may operate where the content collection threshold time is 24 hours.
In some embodiments, the first plurality of content collections comprises content collections 291, 310, 320 from a plurality of friend accounts associated with the first mobile device. Some embodiments may then further involve receiving, from the first mobile device, a live autoforward communication associated with completion of an end presentation of a final first content collection of the plurality of content collections at the first mobile device and a response input received during display of the opt-out interstitial; and automatically communicating a first live content collection from the server computer system to the first mobile device for automatic display on the first mobile device in response to receipt of the live autoforward communication. Some such embodiments then further involve communicating one or more advertising elements for presentation on the first mobile device prior to automatic display of the second content collection.
Some embodiments involve communicating one or more advertising elements for presentation as part of an opt-out interstitial on the first mobile device following presentation of a trigger content collection of the first plurality of content collections or the first live content collection, wherein the trigger content collection is selected from content collections of the first plurality of content collections or the first live content collection based on an advertising threshold. Some embodiments involve receiving, at the server computer system, a second plurality of content messages, receiving, at the server computer system via a curation tool, selection of live media content from the second plurality of content messages for the live content collection, and periodically updating live media content of the live content collection using the curation tool.
In some such embodiments, the server computer performs operations for receiving, from the first mobile device, a swipe input in response to display of the opt-out interstitial, and selecting a new content collection for communication to the first mobile device in response to the swipe input. In some embodiments, the method involves receiving, from the first mobile device, a tap input communication in response to display of the opt-out interstitial, and confirming display of the second content collection for display on the first mobile device in response to the tap input communication.
In various embodiments, a content collection end trigger may be an actual ending of display of a final piece of content from a content collection 291, 310, 320. In other embodiments, this may be a trigger based on an expected time to retrieve content from a server prior to the end of display of a final piece of content for a content collection 291, 310, 320. In some embodiments, this may be a trigger indicating a request to cache content for a next content collection. In still further embodiments, other triggers may be used to request selection and or transmission of a next content collection to be presented automatically at the device. Additionally, as described herein, in various embodiments, multimedia advertising elements (e.g. images, video, graphics, etcetera) may be provided to a device for display between any or all content collections 291, 310, 320. Different advertising thresholds may be used, such as a time since last advertising element presented, an advertising to content ratio, or any other such threshold.
In various implementations, the operating system 904 manages hardware resources and provides common services. The operating system 904 includes, for example, a kernel 920, services 922, and drivers 924. The kernel 920 acts as an abstraction layer between the hardware and the other software layers, consistent with some embodiments. For example, the kernel 920 provides memory management, processor management (e.g., scheduling), component management, networking, and security settings, among other functionality. The services 922 can provide other common services for the other software layers. The drivers 924 are responsible for controlling or interfacing with the underlying hardware, according to some embodiments. For instance, the drivers 924 can include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® Low Energy 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.
In some embodiments, the libraries 906 provide a low-level common infrastructure utilized by the applications 910. The libraries 906 can include system libraries 930 (e.g., C standard library) that can provide functions such as memory allocation functions, string manipulation functions, mathematic functions, and the like. In addition, the libraries 906 can include API libraries 932 such as media libraries (e.g., libraries to support presentation and manipulation of various media formats such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group (JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries (e.g., an OpenGL framework used to render in two dimensions (2D) and three dimensions (3D) in a graphic content on a display), database libraries (e.g., SQLite to provide various relational database functions), web libraries (e.g., WebKit to provide web browsing functionality), and the like. The libraries 906 can also include a wide variety of other libraries 934 to provide many other APIs to the applications 910.
The frameworks 908 provide a high-level common infrastructure that can be utilized by the applications 910, according to some embodiments. For example, the frameworks 908 provide various graphic user interface (GUI) functions, high-level resource management, high-level location services, and so forth. The frameworks 908 can provide a broad spectrum of other APIs that can be utilized by the applications 910, some of which may be specific to a particular operating system 904 or platform.
In an example embodiment, the applications 910 include a home application 950, a contacts application 952, a browser application 954, a book reader application 956, a location application 958, a media application 960, a messaging application 962, a game application 964, and a broad assortment of other applications such as a third party application 966. According to some embodiments, the applications 910 are programs that execute functions defined in the programs. Various programming languages can be employed to create one or more of the applications 910, structured in a variety of manners, such as object-oriented programming languages (e.g., Objective-C, Java, or C++) or procedural programming languages (e.g., C or assembly language). In a specific example, the third party application 966 (e.g., an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform) may be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. In this example, the third party application 966 can invoke the API calls 912 provided by the operating system 904 to facilitate functionality described herein.
Some embodiments may particularly include a content collection application 966 In certain embodiments, this may be a stand-alone application that operates to manage communications with a server system such as server system 150. In other embodiments, this functionality may be integrated with another application such as a media application 960 or another such application 910. Content collection application 966 may manage a collection of content using a camera device of machine 1000, communication with a server system 550 via I/O components 1050, and receipt and storage of received content collections in memory 1030. Presentation of content and user inputs associated with content may be managed by story application 969 using different frameworks 908, library 906 elements, or operating system 904 elements operating on a machine 1000.
In various embodiments, the machine 1000 comprises processors 1010, memory 1030, and I/O components 1050, which can be configured to communicate with each other via a bus 1002. In an example embodiment, the processors 1010 (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) include, for example, a processor 1012 and a processor 1014 that may execute the instructions 1016. The term “processor” is intended to include multi-core processors 1010 that may comprise two or more independent processors 1012, 1014 (also referred to as “cores”) that can execute instructions 1016 contemporaneously. Although
The memory 1030 comprises a main memory 1032, a static memory 1034, and a storage unit 1036 accessible to the processors 1010 via the bus 1002, according to some embodiments. The storage unit 1036 can include a machine-readable medium 1038 on which are stored the instructions 1016 embodying any one or more of the methodologies or functions described herein. The instructions 1016 can also reside, completely or at least partially, within the main memory 1032, within the static memory 1034, within at least one of the processors 1010 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 1000. Accordingly, in various embodiments, the main memory 1032, the static memory 1034, and the processors 1010 are considered machine-readable media 1038.
As used herein, the term “memory” refers to a machine-readable medium 1038 able to store data temporarily or permanently and may be taken to include, but not be limited to, random-access memory (RAM), read-only memory (ROM), buffer memory, flash memory, and cache memory. While the machine-readable medium 1038 is shown, in an example embodiment, to be a single medium, 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 the instructions 1016. 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., instructions 1016) for execution by a machine (e.g., machine 1000), such that the instructions 1016, when executed by one or more processors of the machine 1000 (e.g., processors 1010), cause the machine 1000 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” shall accordingly be taken to include, but not be limited to, one or more data repositories in the form of a solid-state memory (e.g., flash memory), an optical medium, a magnetic medium, other non-volatile memory (e.g., erasable programmable read-only memory (EPROM)), or any suitable combination thereof. The term “machine-readable medium” specifically excludes non-statutory signals per se.
The I/O components 1050 include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. In general, it will be appreciated that the I/O components 1050 can include many other components that are not shown in
In some further example embodiments, the I/O components 1050 include biometric components 1056, motion components 1058, environmental components 1060, or position components 1062, among a wide array of other components. For example, the biometric components 1056 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 1058 include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The environmental components 1060 include, for example, illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometers 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 sensor components (e.g., machine olfaction detection sensors, gas detection sensors to detect 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 1062 include location sensor components (e.g., a Global Positioning System (GPS) receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like.
Communication can be implemented using a wide variety of technologies. The I/O components 1050 may include communication components 1064 operable to couple the machine 1000 to a network 1080 or devices 1070 via a coupling 1082 and a coupling 1072, respectively. For example, the communication components 1064 include a network interface component or another suitable device to interface with the network 1080. In further examples, communication components 1064 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 1070 may be another machine 1000 or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a Universal Serial Bus (USB)).
Moreover, in some embodiments, the communication components 1064 detect identifiers or include components operable to detect identifiers. For example, the communication components 1064 include radio frequency identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect a one-dimensional bar codes such as a Universal Product Code (UPC) bar code, multi-dimensional bar codes such as a Quick Response (QR) code, Aztec Code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, Uniform Commercial Code Reduced Space Symbology (UCC RSS)-2D bar codes, and other optical codes), acoustic detection components (e.g., microphones to identify tagged audio signals), or any suitable combination thereof. In addition, a variety of information can be derived via the communication components 1064, such as location via Internet Protocol (IP) geo-location, location via WI-FI® signal triangulation, location via detecting a BLUETOOTH® or NFC beacon signal that may indicate a particular location, and so forth.
Transmission Medium
In various example embodiments, one or more portions of the network 1080 can 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, the network 1080 or a portion of the network 1080 may include a wireless or cellular network, and the coupling 1082 may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or another type of cellular or wireless coupling. In this example, the coupling 1082 can 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.
In example embodiments, the instructions 1016 are transmitted or received over the network 1080 using a transmission medium via a network interface device (e.g., a network interface component included in the communication components 1064) and utilizing any one of a number of well-known transfer protocols (e.g., Hypertext Transfer Protocol (HTTP)). Similarly, in other example embodiments, the instructions 1016 are transmitted or received using a transmission medium via the coupling 1072 (e.g., a peer-to-peer coupling) to the devices 1070. The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding, or carrying the instructions 1016 for execution by the machine 1000, and includes digital or analog communications signals or other intangible media to facilitate communication of such software.
Furthermore, the machine-readable medium 1038 is non-transitory (in other words, not having any transitory signals) in that it does not embody a propagating signal. However, labeling the machine-readable medium 1038 “non-transitory” should not be construed to mean that the medium is incapable of movement; the medium 1038 should be considered as being transportable from one physical location to another. Additionally, since the machine-readable medium 1038 is tangible, the medium 1038 may be considered to be a machine-readable device.
Language
Throughout this specification, plural instances may implement components, operations, or structures described as a single instance. Although individual operations of one or more methods are illustrated and described as separate operations, one or more of the individual operations may be performed concurrently, and nothing requires that the operations be performed in the order illustrated. Structures and functionality presented as separate components in example configurations may be implemented as a combined structure or component. Similarly, structures and functionality presented as a single component may be implemented as separate components. These and other variations, modifications, additions, and improvements fall within the scope of the subject matter herein.
Although an overview of the inventive subject matter has been described with reference to specific example embodiments, various modifications and changes may be made to these embodiments without departing from the broader scope of embodiments of the present disclosure. Such embodiments of the inventive subject matter may be referred to herein, individually or collectively, by the term “invention” merely for convenience and without intending to voluntarily limit the scope of this application to any single disclosure or inventive concept if more than one is, in fact, disclosed.
The embodiments illustrated herein are described in sufficient detail to enable those skilled in the art to practice the teachings disclosed. Other embodiments may be used and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. The Detailed Description, therefore, is not to be taken in a limiting sense, and the scope of various embodiments is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled.
As used herein, the term “or” may be construed in either an inclusive or exclusive sense. Moreover, plural instances may be provided for resources, operations, or structures described herein as a single instance. Additionally, boundaries between various resources, operations, modules, engines, and data stores are somewhat arbitrary, and particular operations are illustrated in a context of specific illustrative configurations. Other allocations of functionality are envisioned and may fall within a scope of various embodiments of the present disclosure. In general, structures and functionality presented as separate resources in the example configurations may be implemented as a combined structure or resource. Similarly, structures and functionality presented as a single resource may be implemented as separate resources. These and other variations, modifications, additions, and improvements fall within a scope of embodiments of the present disclosure as represented by the appended claims. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
This application is a continuation of U.S. patent application Ser. No. 16/146,312, filed Sep. 28, 2018, which application claims the benefit of priority to U.S. Provisional Patent Application Ser. No. 62/591,401 filed on Nov. 28, 2017 entitled “MEDIA COLLECTION NAVIGATION WITH OPT-OUT INTERSTITIAL” which is incorporated herein by reference for all purposes.
| Number | Name | Date | Kind |
|---|---|---|---|
| 9282403 | Torok | Mar 2016 | B1 |
| 9473560 | Liu | Oct 2016 | B1 |
| 11341544 | Boyd et al. | May 2022 | B2 |
| 20060159236 | Al-Samadi | Jul 2006 | A1 |
| 20070214252 | Kushima | Sep 2007 | A1 |
| 20090222850 | Darnell | Sep 2009 | A1 |
| 20120324498 | Scott et al. | Dec 2012 | A1 |
| 20130042271 | Yellin et al. | Feb 2013 | A1 |
| 20160034712 | Patton | Feb 2016 | A1 |
| 20160112740 | Francisco | Apr 2016 | A1 |
| 20170263030 | Allen | Sep 2017 | A1 |
| 20190164197 | Boyd et al. | May 2019 | A1 |
| Number | Date | Country |
|---|---|---|
| 111386547 | Jul 2020 | CN |
| 2015150749 | Oct 2015 | WO |
| 2017172954 | Oct 2017 | WO |
| 2019108679 | Jun 2019 | WO |
| Entry |
|---|
| Lucas; Interstitial Content Detection; Mozilla 2017; 7 pages; 2017. |
| Ralph; A_Framework_for_Automatic_Online_Personalization; IEEE 2006, 10 pages; 2006. |
| Lucas; Interstitial Content Detection; Mozilla Research; 7 pages; Aug. 2017. |
| Ralph; A_Framework_for_Automatic_Online_Personalization; HICSS; 10 pages; 2006. |
| “International Application Serial No. PCT US2018 062886, International Search Report dated Apr. 2, 2019”, 3 pgs. |
| “International Application Serial No. PCT US2018 062886, Written Opinion dated Apr. 2, 2019”, 8 pgs. |
| “Surprise!”, [Online] Retrieved from the Internet: URL: https: www.snap.com en-US news post surprise, (Oct. 3, 2013), 1 pg. |
| “International Application Serial No. PCT US2018 062886, International Preliminary Report on Patentability dated Jun. 11, 2020”, 10 pgs. |
| “U.S. Appl. No. 16/146,312, Non Final Office Action dated Oct. 16, 2020”, 35 pgs. |
| “U.S. Appl. No. 16/146,312, Examiner Interview Summary dated Nov. 30, 2020”, 2 pgs. |
| “U.S. Appl. No. 16/146,312, Response filed Dec. 10, 2020 to Non Final Office Action dated Oct. 16, 2020”, 10 pgs. |
| “U.S. Appl. No. 16/146,312, Final Office Action dated Dec. 16, 2020”, 23 pgs. |
| “U.S. Appl. No. 16/146,312, Examiner Interview Summary dated Feb. 22, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/146,312, Response filed Mar. 10, 2021 to Final Office Action dated Dec. 16, 2020”, 11 pgs. |
| “U.S. Appl. No. 16/146,312, Non Final Office Action dated Apr. 15, 2021”, 12 pgs. |
| “U.S. Appl. No. 16/146,312, Response filed Jul. 7, 2021 to Non Final Office Action dated Apr. 15, 2021”, 10 pgs. |
| “U.S. Appl. No. 16/146,312, Final Office Action dated Jul. 14, 2021”, 13 pgs. |
| “U.S. Appl. No. 16/146,312, Pre-Appeal Brief Request filed Nov. 15, 2021”, 5 pgs. |
| “U.S. Appl. No. 16/146,312, Decision on Pre-Appeal Brief Request for Review mailed Dec. 24, 2021”, 2 pgs. |
| “U.S. Appl. No. 16/146,312, Notice of Allowance dated Jan. 21, 2022”, 12 pgs. |
| “Korean Application Serial No. 10-2020-7015936, Notice of Preliminary Rejection dated Jan. 13, 2022”, w English translation, 10 pgs. |
| Buscemi, Scott, “Snapchat introduces ‘Stories’, a narrative built with snaps”, [Online] Retrieved from the Internet: URL: https: 9to5mac.com 2013 10 03 snapchat-introduces-stories-a-narrative-built-with-snaps , (Oct. 3, 2013), 2 pgs. |
| Etherington, Darrell, “Snapchat Gets Its Own Timeline With Snapchat Stories, 24-Hour Photo and Video Tales”, [Online] Retrieved from the Internet: URL: https: techcrunch.com 2013 10 03 snapchat-gets-its-own-timeline-with-snapchat-stories-24-hour-photo-video-tales , (Oct. 3, 2013), 2 pgs. |
| Hamburger, Ellis, “Snapchat's next big thing: ‘Stories’ that don't just disappear”, [Online] Retrieved from the Internet: URL: https: www.theverge.com 2013 10 3 4791934 snapchats-next-big-thing-stories-that-dont-just-disappear, (Oct. 3, 2013), 5 pgs. |
| Lucas, Elizabeth, “Interstitial Content Detection”, Mozilla Research, (Aug. 2017), 7 pgs. |
| Ralph, “A_Framework_for_Automatic_Online_Personalization”, ICSS, (2006), 10 pgs. |
| “Chinese Application Serial No. 201880076584.7, Office Action dated Mar. 15, 2023”, W/English Translation, 18 pgs. |
| “P2P streaming media Interstitial advertisement in stereo broadcasting system”, (Sep. 1, 2009), 1-19. |
| Number | Date | Country | |
|---|---|---|---|
| 20220358549 A1 | Nov 2022 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62591401 | Nov 2017 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16146312 | Sep 2018 | US |
| Child | 17750927 | US |
