Abstract: A computing system for recognizing salient events depicted in a video utilizes learning algorithms to detect audio and visual features of the video. The computing system identifies one or more salient events depicted in the video based on the audio and visual features.

Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.

Abstract: A complex video event classification, search and retrieval system can generate a semantic representation of a video or of segments within the video, based on one or more complex events that are depicted in the video, without the need for manual tagging. The system can use the semantic representations to, among other things, provide enhanced video search and retrieval capabilities.

Abstract: Technology for performing continuous authentication of a mobile device utilizes user activity context data and biometric signature data related to the user. A biometric signature can be selected based on the activity context, and the selected biometric signature can be used to verify the identity of the user.

Abstract: An entity interaction recognition system algorithmically recognizes a variety of different types of entity interactions that may be captured in two-dimensional images. In some embodiments, the system estimates the three-dimensional spatial configuration or arrangement of entities depicted in the image. In some embodiments, the system applies a proxemics-based analysis to determine an interaction type. In some embodiments, the system infers, from a characteristic of an entity detected in an image, an area or entity of interest in the image.

Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.

Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.

Abstract: Methods and systems for analyzing video-game videos in connection with facilitating video editing and creation and performing automated extraction of information of interest to facilitate labeling of and/or highlight generation for such videos is provided. According to one embodiment, a video, containing content pertaining to a video game, is received by a video-game video analysis system. Information regarding the status of the video game over time is received by retrieving game metadata through an API of the video game or by analyzing audio or visual features within the content. Multiple clips are automatically identified within the video for proposed inclusion within an edited version of the video based on the status of the video game over time. The edited version of the video is then generated by (i) joining the automatically identified clips or (ii) joining multiple user-selected clips, including at least one clip selected from the automatically identified clips.

Abstract: Technology for performing continuous authentication of a mobile device utilizes user activity context data and biometric signature data related to the user. A biometric signature can be selected based on the activity context, and the selected biometric signature can be used to verify the identity of the user.

Abstract: Technology for performing continuous authentication of a mobile device utilizes user activity context data and biometric signature data related to the user. A biometric signature can be selected based on the activity context, and the selected biometric signature can be used to verify the identity of the user.

Abstract: An entity interaction recognition system algorithmically recognizes a variety of different types of entity interactions that may be captured in two-dimensional images. In some embodiments, the system estimates the three-dimensional spatial configuration or arrangement of entities depicted in the image. In some embodiments, the system applies a proxemics-based analysis to determine an interaction type. In some embodiments, the system infers, from a characteristic of an entity detected in an image, an area or entity of interest in the image.

Abstract: Methods and systems for generation of an index and Table-of-Contents (ToC) for videos based on user given labels or a combination of user input and automated indexing techniques are provided. According to one embodiment, an annotation tool and a video player are presented to individual subscribers/users of a video discovery and consumption service. Tags proposed by the subscribers to be associated with various portions of the video content are received, processed and integrated within a global ToC for the video. The service can assist subscribers that intend to tag a certain portion of video by automatically proposing suitable tags and portion boundaries. Subscribers can vote on the suitability of tags constituting the ToC. Responsive to a request to view video content, a customized ToC is presented to a subscriber which include labels selected from the global ToC in accordance with default tag selection/filtering criteria or filtering criteria specified by subscriber.

Abstract: Technology for performing continuous authentication of a mobile device utilizes user activity context data and biometric signature data related to the user. A biometric signature can be selected based on the activity context, and the selected biometric signature can be used to verify the identity of the user.

Abstract: A complex video event classification, search and retrieval system can generate a semantic representation of a video or of segments within the video, based on one or more complex events that are depicted in the video, without the need for manual tagging. The system can use the semantic representations to, among other things, provide enhanced video search and retrieval capabilities.

Abstract: An entity interaction recognition system algorithmically recognizes a variety of different types of entity interactions that may be captured in two-dimensional images. In some embodiments, the system estimates the three-dimensional spatial configuration or arrangement of entities depicted in the image. In some embodiments, the system applies a proxemics-based analysis to determine an interaction type. In some embodiments, the system infers, from a characteristic of an entity detected in an image, an area or entity of interest in the image.

Abstract: A unified framework detects and classifies people interactions in unconstrained user generated images. Previous approaches directly map people/face locations in two-dimensional image space into features for classification. Among other things, the disclosed framework estimates a camera viewpoint and people positions in 3D space and then extracts spatial configuration features from explicit three-dimensional people positions.

Abstract: A complex video event classification, search and retrieval system can generate a semantic representation of a video or of segments within the video, based on one or more complex events that are depicted in the video, without the need for manual tagging. The system can use the semantic representations to, among other things, provide enhanced video search and retrieval capabilities.

Abstract: A video camera may overlook a monitored area from any feasible position. An object flow estimation module monitor the moving direction of the objects in the monitored area. It may separate the consistently moving objects from the other objects. A object count estimation module may compute the object density (e.g. crowd). A object density classification module may classify the density into customizable categories.

Abstract: A computing system for recognizing salient events depicted in a video utilizes learning algorithms to detect audio and visual features of the video. The computing system identifies one or more salient events depicted in the video based on the audio and visual features.

Abstract: Methods and systems for generation of an index and Table-of-Contents (ToC) for videos based on user given labels or a combination of user input and automated indexing techniques are provided. According to one embodiment, an annotation tool and a video player are presented to individual subscribers/users of a video discovery and consumption service. Tags proposed by the subscribers to be associated with various portions of the video content are received, processed and integrated within a global ToC for the video. The service can assist subscribers that intend to tag a certain portion of video by automatically proposing suitable tags and portion boundaries. Subscribers can vote on the suitability of tags constituting the ToC. Responsive to a request to view video content, a customized ToC is presented to a subscriber which include labels selected from the global ToC in accordance with default tag selection/filtering criteria or filtering criteria specified by subscriber.