Abstract
In digital video analysis, browse, retrieval and query, shot is incapable of meeting needs. Scene is a cluster of a series of shots, which partially meets above demands. In this paper, an algorithm of video scenes clustering based on shot key frame sets is proposed. We useX 2 histogram match and twin histogram comparison for shot detection. A method is presented for key frame set extraction based on distance of non adjacent frames, further more, the minimum distance of key frame sets as distance of shots is computed, eventually scenes are clustered according to the distance of shots. Experiments of this algorithm show satisfactory performance in correctness and computing speed.
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Foundation item: Supported by the Natural Science Foundation of Hubei Province (2004ABA174)
Biography: CAI Bo(1973-), male, Ph. D., research direction: image processing and video information processing.
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Bo, C., Lu, Z. & Dong-ru, Z. A study of video scenes clustering based on shot key frames. Wuhan Univ. J. Nat. Sci. 10, 966–970 (2005). https://doi.org/10.1007/BF02832449
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DOI: https://doi.org/10.1007/BF02832449