Experimental comparison of existing video shot detection techniques in compressed video

Xiaoqiang Huang, Mark H. Fisher, Dan J. Smith

Research output: Contribution to conferencePaper


Video shot detection is an important first step in video parsing that has been applied in many recent content-based video indexing and retrieval systems. A number of algorithms address the problem of detecting video shots automatically. Some algorithms work with decompressed digital video, while other more state-of-the-art approaches try to detect shots in MPEG-1,-2 compressed video streams directly in order to reduce the processing time. This paper reviews the main approaches to detecting shots in MPEG-1,-2 coded video and compares these using experimental results derived using extracts from the National Institute of Standards and Technology (NIST) video test data-set. These results show that the approach using DC images outperforms other more complex approaches based on macroblock coding reviewed in this paper in terms of precision and accuracy.
Original languageEnglish
Publication statusPublished - Jun 2002
Event12th Portuguese Conference on Pattern Recognition - University of Aveiro, Portugal
Duration: 27 Jun 200228 Jun 2002


Conference12th Portuguese Conference on Pattern Recognition

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