Dynamic Video Summarization

Exclusively Licensed

Cyclical pixel-based remapping techniques are disclosed for efficiently creating and displaying a video summary. Cyclical temporal remapping at the pixel level requires less processing power and eliminates the need for object identification and tracking, allowing for dynamic adjustment of summary video parameters while a user is viewing the summary video. An operator can select an archived camera feeds or video file, specify a time compression ratio or time interval over which to review video content, specify a motion sensitivity threshold, and then view a significantly condensed summary video that depicts all activity from the source video within a much shorter timeline. Furthermore, activity co-occurrence is preserved such that any activities that co-occur in the source video will also co-occur in the summary video.

Researchers

Jason Thornton / Nicholas Gallo / Christine Russ

Departments: Lincoln Laboratory
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Communication Systems: Optical / Computer Science: Networking & Signals / Sensing & Imaging: Imaging
Impact Areas: Connected World

  • dynamic video summarization
    United States of America | Granted | 10,424,341

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