Abstract: A data-enhanced video viewing system scans videos in order to detect and extract certain objects, such as human faces, so as to compile non-time based synopses, including “facelines” of people appearing in the video sequence. It can also provide a time-based synopsis that includes timestamps for all detected objects. The data-enhanced video viewing system can be deployed on a network for a client to request data extraction on one or more designated videos. The designated video may be one of those that have been uploaded to social networks, uploaded to online video hosting sites, streamed over the Internet or other network, or uploaded directly by the user.

Abstract: A computer vision pipeline detects tracks and classifies people or other specified class of objects in a steam of video. The ability to not only detect motion, but to distinguish people or other specified objects, can improve the systems usefulness in applications like security monitoring. A motion detection module provides a motion bitmap and a background subtraction module provides a foreground bitmap, and an object tracking module uses these bitmaps identify and track the specified classes of objects. From these objects and tracks, categorized object data can then be generated.

Abstract: A computer vision pipeline detects tracks and classifies people or other specified class of objects in a steam of video. The ability to not only detect motion, but to distinguish people or other specified objects, can improve the systems usefulness in applications like security monitoring. A motion detection module provides a motion bitmap and a background subtraction module provides a foreground bitmap, and an object tracking module uses these bitmaps identify and track the specified classes of objects. From these objects and tracks, categorized object data can then be generated.

Abstract: A data-enhanced video viewing system scans videos in order to detect and extract certain objects, such as human faces, so as to compile non-time based synopses, including “facelines” of people appearing in the video sequence. It can also provide a time-based synopsis that includes timestamps for all detected objects. The data-enhanced video viewing system can be deployed on a network for a client to request data extraction on one or more designated videos. The designated video may be one of those that have been uploaded to social networks, uploaded to online video hosting sites, streamed over the Internet or other network, or uploaded directly by the user.