Anchor Frame Detection in News Video Using Anchor Object Extraction(<Special Section>Papers Selected from ITC-CSCC 2004)
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概要
- 論文の詳細を見る
In this paper, an algorithm for anchor frame detection in news video is proposed, which consists of four steps. First, the cumulative histogram method is used to detect shot boundaries in order to segment a news video into video shots. Second, skin color information is used to detect face regions in each video shot. Third, color information of upper body regions is used to extract anchor object. Then, a graph-theoretic cluster analysis algorithm is utilized to classify the news video into anchor-person shots and non-anchor shots. Experimental results have shown the effectiveness of the proposed algorithm.
- 社団法人電子情報通信学会の論文
- 2005-06-01
著者
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PARK Ki
Department of Machine Intelligence and Systems Engineering, Tohoku University
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Moon Young
Department Ofindustrial Toxicology Industrial Health Research Institute Kisco Inchon Korea
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Moon Young
Department Of Applied Chemistry Graduate School Of Engineering Osaka University
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Park Ki
Department Of Civil Engineering Faculty Of Engineering Kyushu University
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Park Ki
Department Of Computer Science & Engineering At Hanyang University
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HWANG Doo
Samsung Advanced Institute of Technology
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Park Ki
Department Of Agricultural Chemistry Division Of Applied Life Science Gyeongsang National University
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Moon Young
Department Of Computer Science & Engineering At Hanyang University
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