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COMPRESSED-DOMAIN SHOT BOUNDARY DETECTION USING FINITE STATE MACHINE AND CONTENT-BASED RULES

Main information
We propose a fast and systematic method for shot boundary detection in compressed domain using content-based rules and FSM (finite state machine). Firstly, several feature indicators are acquired from DC images in MPEG videos including luminance, color, edge, prediction error and inter-frame difference as well as motion. Then, several content-based rules are utilized to detect abrupt cuts. Thirdly, boundaries of gradual transitions are determined by a coarse to fine procedure with a pre-processing module and a FSM. According to the experiments using publicly available sequences from TRECVID, the results have showed that the proposed algorithm outperforms the representative existing algorithms in both precision rate and recall rates. 
No referenced Knowhow defined
WP5: Detection, Extraction and Annotation of Knowledge. 
School of Informatics University of Bradford  Jianmin Jiang, Jinchang Ren 
2008-01-24 17:10  Request for more detail


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For LIVE project internal research purposes only.  For LIVE project internal development purposes only. 


Protection Status
Copyright School of Informatics, University of Bradford.  Add to LIVE's Intellectual Property Watch List 
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Asia-Pacific Workshop on Visual Information Processing, 2007, pp. 137-142 
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