Importance

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Abstract

An embodiment of the present invention relates to systems and methods for dynamically detecting and visualizing actions and/or events in video data streams. In one embodiment, a method involves dynamically detecting and extracting objects and attributes relating to the objects from a video data stream by using action recognition filtering for attribute detection and time series analysis for relation detection among the extracted objects. In addition, the method may involve dynamically generating a multi-field video visualization along a time axis by depicting the video data stream as a series of frames at a relatively sparse or dense interval, and by continuously rendering the attributes relating to the objects with substantially continuous abstract illustrations. Finally, a method may also involve dynamically combining detection, and extraction of objects and combining with multi-field visualization in a video perpetuo gram (VPG), which may show a video stream in parallel, and which allows for real-time display and interaction.

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First Claim