Efficient algorithm for scene change detection and camera motion characterization using the approach of heterogeneous video transcoding on MPEG compressed videos

Jin-Hau Kuo; Ja-Ling Wu

doi:10.1117/12.451088

19 December 2001 Efficient algorithm for scene change detection and camera motion characterization using the approach of heterogeneous video transcoding on MPEG compressed videos

Jin-Hau Kuo, Ja-Ling Wu

Author Affiliations +

Proceedings Volume 4676, Storage and Retrieval for Media Databases 2002; (2001) https://doi.org/10.1117/12.451088
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

Due to the increasing amount of information carried by video, video analysis that clips video as changed scenes or key-frames becomes essential for efficient video indexing. In this paper, we proposed a compressed domain scene change detection and camera motion characterization algorithm. We believe that the most vital inherent information hided in the MPEG bitstream, which can aid scene shot and sub-shot detection, are the motion vector and the macroblock type statistics. We evaluate the results of the scene change detection and camera motion characterization to get the accurate shot and sub-shot location.

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Jin-Hau Kuo and Ja-Ling Wu "Efficient algorithm for scene change detection and camera motion characterization using the approach of heterogeneous video transcoding on MPEG compressed videos", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); https://doi.org/10.1117/12.451088

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