A VIDEO SUMMARIZATION ALGORITHM USING THE SEMANTIC SCORE METHOD
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概要
- 論文の詳細を見る
This report proposes a video summarization algorithm that generates a video summary using the Semantic Score Method for the purpose of automatically generating a video clip. The Semantic Score Method enables to quantitatively describe narrative structure of content through its cognitive evaluation by viewers. The paper derives the algorithm through a comparative analysis of 15 movies and their trailers, and demonstrates the effectiveness of the algorithm by evaluating the quality of the video summaries it produces. This algorithm makes it possible to produce various video clips according to viewer characteristics based on the Semantic Scores of a large numbers of viewers collected at movie and TV drama previews. It also makes it possible to intuitively select program titles or browse content from moving images generated by the algorithm in a storage-based broadcasting environment.
- 日本デザイン学会の論文
- 2002-03-31
著者
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Watanabe Makoto
Faculty of Health Science, Kobe University School of Medicine
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Sugiyama K
Faculty Of Engineering Chiba University
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Takahashi Yasushi
Sony Corporation
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SUGIYAMA Kazuo
Faculty of Engineering, Chiba University
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Sugiyama Kazuo
Faculty Of Engineering Chiba University
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Watanabe Makoto
Faculty Of Engineering Chiba University
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