An effective and fast scene change detection algorithm for MPEG compressed videos

Authors:
Z. Li;J. Jiang;G. Xiao;H. Fang
Affiliations:
Faculty of Informatics & Computing, Southwest China University, Chongqin, China;Faculty of Informatics & Computing, Southwest China University, Chongqin, China;Faculty of Informatics & Computing, Southwest China University, Chongqin, China;Department of EIMC, University of Bradford, UK
Venue:
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Year:
2006

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Abstract

In this paper, we propose an effective and fast scene change detection algorithm directly in MPEG compressed domain. The proposed scene change detection exploits the MPEG motion estimation and compensation scheme by examining the prediction status for each macro-block inside B frames and P frames. As a result, locating both abrupt and dissolved scene changes is operated by a sequence of comparison tests, and no feature extraction or histogram differentiation is needed. Therefore, the proposed algorithm can operate in compressed domain, and suitable for real-time implementations. Extensive experiments illustrate that the proposed algorithm achieves up to 94% precision for abrupt scene change detection and 100% for gradual scene change detection. In comparison with similar existing techniques, the proposed algorithm achieves superiority measured by recall and precision rates.