A Probabilistic Framework for Spatio-Temporal Video Representation
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چکیده
In this work we describe a novel statistical video representation and modeling scheme. Unsupervised clustering via Gaussian mixture modeling extracts coherent spacetime regions in feature space, and corresponding coherent segments (video-regions) in the video content. A key feature of the system is the analysis of video input as a single entity as opposed to a sequence of separate frames. Space and time are treated uniformly. The extracted space-time regions allow for the detection and recognition of video events. Results of segmenting video content into static vs. dynamic video regions and video content editing are presented.
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