There is an urgent need to extract key information from video automatically for the purposes of indexing, fast retrieval, and scene analysis. To support this vision, reliable scene change detection algorithms must be developed. Several algorithms have been proposed for both sudden and gradual scene change detection in uncompressed and compressed video. In this paper some common algorithms that have been proposed for scene change detection are reviewed. A novel algorithm for sudden scene change detection for MPEG-2 compressed video is then presented. This uses the number of interpolated macroblocks in B-frames to identify the sudden scene changes. A gradual scene change detection algorithm based on statistical features is also presented.
Scene change detection algorithms for content-based video indexing and retrieval
2001-06-01
10 pages
Aufsatz (Zeitschrift)
Englisch
content-based video indexing , scene analysis , database indexing , interpolated macroblocks , statistical analysis , gradual scene change detection , video databases , compressed video , retrieval , uncompressed video , statistical features , interpolation , sudden scene change detection , data compression , video coding , scene change detection algorithms , B-frames , MPEG-2 compressed video , content-based retrieval
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