A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing [chapter]

Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer
2002 Lecture Notes in Computer Science  
In this work we describe a novel statistical video representation and modeling scheme. Video representation schemes are needed to enable segmenting a video stream into meaningful video-objects, useful for later indexing and retrieval applications. In the proposed methodology, unsupervised clustering via Guassian mixture modeling extracts coherent space-time regions in feature space, and corresponding coherent segments (video-regions) in the video content. A key feature of the system is the
more » ... sis 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.
doi:10.1007/3-540-47979-1_31 fatcat:kq6h2ttgdvfmfp5bhbrfuhurgu