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- W2135677263 abstract "It is important to organize the unstructured video data properly for video content analysis and application. Existing shot-based video analysis can not get good performance for effective browsing and retrieval because shots are too numerous to handle and can not convey meaningful semantics. The video scene is a meaningful and high-level semantic video unit. In this paper, we present a simple and quick approach of generating video scene structure. We segment the video into shots with an improved twin-comparison method. Shots are grouped into shot clusters using a sliding shots window method, which can greatly reduce computation effort and time. A correlation function between shot clusters is defined to analysis their correlations and to construct the video scene structure. Experimental results show it is an effective method." @default.
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- W2135677263 date "2004-06-21" @default.
- W2135677263 modified "2023-09-25" @default.
- W2135677263 title "A novel approach of generating video scene structure" @default.
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- W2135677263 doi "https://doi.org/10.1109/tencon.2003.1273343" @default.
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