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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Video Scene Segmentation Using Sequential Change Detection
verfasst von : Zhenyan Li, Hong Lu, Yap-Peng Tan
Erschienen in: Advances in Multimedia Information Processing - PCM 2004
Verlag: Springer Berlin Heidelberg
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In content-based video analysis, commonly the first step is to segment a video into independent shots. However, it is rather inefficient to represent video using shot information, as one hour video may contain more than a hundred shots. To address this limitation, most recent work has focused on segmenting a video into scenes, each aggregated by consecutive shots that share similar visual properties or cover a same dramatic event. With the use of sequential change detection and the help of nonparametric density estimation, we propose a novel approach for video scene segmentation in this paper. Experimental results obtained from various test videos suggest that the proposed approach is promising.