Facebook, Inc.

Other

Dirk John Stoop

Jorn Martinus Johannes Van Dijk

Balmanohar Paluri

Apostolos Lerios

Ryan David Mack

Lubomir Dimitrov Bourdev

Dan Barak

Yaniv Taigman

Gil Hirsch

Paul Francois Carduner

Lin He

Michael James Matas

Andrew Michael Chung

Robert Michael Baldwin

Liu Liu

Alex Li

Hamilton Chong

Jennifer Dolson

Peter Avelino Ruibal

Adam Eugene Bussing

Paul François Carduner

John Pottebaum

Oliver Scholz

Zheng Yong

Jorn Van Dijk

Catherine Lois Shive

Yaniv N Taigman

Jorn Martinus Van Dijk

In one embodiment, a computing system may receive one or more input signals comprising information related to a user of the computing system. The computing system may determine an interpretation of the one or more input signals using a knowledge graph. The knowledge graph may include a number of layers of knowledge about the user or an environment of the computing system. The interpretation of the input signals may be determined based on the knowledge in the knowledge graph. The system may perform one or more execution operations based on the determined interpretation of the one or more input signals. The execution operations may include configuring one or more controllable systems associated with the computing system.

Systems and methods for home automation control

In one embodiment, a method includes sending, to a first client system of a first user, a first trending module having references to a first set of trending topics, where one of the references does not include a live badge; generate a trending-topic interface corresponding to a first trending topic in the first set of trending topics, wherein the trending-topic interface comprises a live module containing at least one live video associated with the first trending topic; storing a reference to the live module with a news-event object; querying the news-event object to determine whether a live module is associated with the first trending topic; and sending, to a second client system for display, a second trending module having references to a second set of trending topic that includes the first trending topic, wherein a reference to the first trending topic includes a live badge.

Indicating live videos for trending topics on online social networks

Techniques to allow for ease of navigation within a photo browsing interface of a social networking system. In one embodiment, a designation of a first image for sharing is received from within at least one of a single-image view and a camera view. Based on the designation, the first image is added to a communication. The designation may be based on a user selection of an option provided by an interface of a mobile device. The first image may be received from within a social networking application or from within a dedicated camera application. In another embodiment, the privacy level of the communication and the designated images is based on the privacy setting of a user. The communication and the designated images may contain tag data identifying one or more people on a social networking system. In an alternative embodiment, the privacy level of the communication and designated images is adjusted according to the one or more people identified in the tag data.

Systems and methods for multiple photo feed stories

Techniques to share images in a social networking system. In an embodiment, an image is received from a first user, the image is associated with a first archive of the first user within a social networking system, and the image is associated with a second archive of a second user within the social networking system without the social networking system receiving a request from the second user to download the image. The image may be received from a mobile device. The image may be captured by a camera of a mobile device. The image may be automatically uploaded from a mobile device. A request may be received from the second user to include the image in the second archive associated with the second user. Associating the image with the second archive of the second user may comprise including a link to the image in the second archive.

Systems and methods for sharing images in a social network

In one embodiment, a method includes receiving a query from a user for videos; identifying videos matching the query; retrieving, for each identified video, a set of keyframes that are associated with one or more concepts; calculating, for each keyframe of each identified video, a keyframe-score based on a prevalence of the concepts associated with the keyframe, determined with reference to the concepts associated with each other keyframe in the set of retrieved keyframes for the identified video; and sending, to the first user, a search-results interface including search results corresponding to one or more of the identified videos, each search result comprising keyframes for the corresponding identified video having keyframe-scores greater than a threshold keyframe-score.

Video keyframes display on online social networks

In one embodiment, a method includes, by a server computing device, providing first instructions to a client device to display a user interface including a first icon associated with a third-party system and a share shutter button, a selectable button to capture and designate one or more media items for sharing. The method includes receiving one or more selections of the share shutter button. The method includes providing second instructions to the client device to display, for each selection of the share shutter button, an animation indicating that the media item has been captured and designated. The second instructions include instructions to display a copy of the media item centered in the user interface and instructions to dimensionally reduce the copy of the media item while moving the copy toward a location of the first icon associated with the third-party system until the copy disappears from the user interface.

Systems and methods for displaying an animation to confirm designation of an image for sharing

In one embodiment, a method includes sending, from a client system of a first user to a server of an online social network, an image portraying at least a first person and determining, for each user in a first set of users, a facial-recognition score with respect to the first person portrayed in the image. The facial-recognition score is based at least in part on a facial-representation associated with the user being compared with the image. The method further includes presenting, at the client system, one or more tag suggestions for the first person portrayed in the image based on the facial-recognition scores and a social-graph affinity associated with one or more users of the first set of users and receiving a selection of a particular tag suggestion by the first user. Each tag suggestion corresponds to a particular user of the first set of users.

Tag suggestions for images on online social networks

In one embodiment, a method includes identifying a shared visual concept in visual-media items based on shared visual features in images of the visual-media items; extracting, for each of the visual-media items, n-grams from communications associated with the visual-media item; generating, in a d-dimensional space, an embedding for each of the visual-media items at a location based on the visual concepts included in the visual-media item; generating, in the d-dimensional space, an embedding for each of the extracted n-grams at a location based on a frequency of occurrence of the n-gram in the communications associated with the visual-media items; and associating, with the shared visual concept, the extracted n-grams that have embeddings within a threshold area of the embeddings for the identified visual-media items.

Training image-recognition systems using a joint embedding model on online social networks

In one embodiment, a method includes rendering an image comprising a plurality of tags, wherein each tag is associated with a particular location within the image, and wherein at least two tags of the plurality of tags are aggregated into an aggregated tag, calculating for each tag the distance of the location of the tag from the location of every other tag of the image responsive to the first user changing a zoom level for the image, and updating the aggregated tag based on the calculated distance of the locations of the tags to each other such that if the change in zoom level is zooming in, then the updated aggregated tag is aggregated with at least one fewer tag, and if the change in zoom level is zooming out, then the updated aggregated tag is aggregated with at least one more tag.

Aggregating tags in images

The techniques introduced here include a system and method for transcoding multimedia content based on the results of content analysis. The determination of specific transcoding parameters, used for transcoding multimedia content, can be performed by utilizing the results of content analysis of the multimedia content. One of the results of the content analysis is the determination of image type of any images included in the multimedia content. The content analysis uses one or more of several techniques, including analyzing content metadata, examining colors of contiguous pixels in the content, using histogram analysis, using compression distortion analysis, analyzing image edges, or examining user provided inputs. Transcoding the multimedia content can include adapting the content to the constraints in delivery and display, processing and storage of user computing devices.

Methods and systems for differentiating synthetic and non-synthetic images

In one embodiment, a method includes receiving a plurality of search queries comprising n-grams; identifying a subset of the plurality of search queries as being queries for visual-media items based on one or more n-grams of the search query being associated with visual-media content; calculating, for each of the n-grams of the search queries of the subset, a popularity-score based on a count of the search queries in the subset that include the n-gram; determining popular n-grams, wherein each of the popular n-grams is an n-gram of the search queries of the subset of search queries having a popularity-score greater than a threshold popularity-score; and selecting one or more of the popular n-grams for training a visual-concept recognition system, wherein each of the popular n-grams is selected based on whether it is associated with a visual concept.

Training image-recognition systems based on search queries on online social networks

In one embodiment, a method includes accessing a first instance of content to be uploaded to a server, generating a second instance of the content from the first instance, automatically uploading to the server the second instance of the content, and automatically uploading to the server the first instance of the content in response to occurrence of a pre-determined upload condition. The first instance has a first file size and the second instance has a second file size that is smaller than the first file size. The upload of the second instance makes the content available for access at least in part by one or more second users at an immediate point in time. The upload of the first instance of the content makes the content available for access by the second users in an original version.

Progressive background uploading

Techniques to allow for optimizing an image based on an operational context. An operational context including at least one attribute of a client associated with a user of a social networking system is determined. An optimized image is created based on the operational context for provision to the user. The determining the operational context may comprise receiving a client identifier and determining the at least one attribute of the client based on the client identifier. The determining the operational context may comprise receiving location coordinates and determining quality of a data connection based on the location coordinates. The determining the operational context may comprise determining at least one usage trend in at least one geographic locality. The optimized image is provided to an image repository associated with the at least one geographic locality. The operational context may comprise at least one user-defined setting.

Growing community of inventors

Menlo Park, CA, United States of America

Dirk John Stoop