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Anchor Frame Detection Using Anchor Object Extraction  

Park Ki-Tae (Department of Computer Science and Engineering, Hanyang University)
Hwang Doo-Sun (Samsung Advanced Institute of Technology)
Moon Young-Shik (Department of Computer Science and Engineering, Hanyang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.43, no.3, 2006 , pp. 17-24 More about this Journal
Abstract
In this paper, an algorithm for anchor frame detection in news video is proposed, which consists of four steps. In the first step, the cumulative histogram method is used to detect shot boundaries in order to segment a news video into video shots. In the second step, skin color information is used to detect face regions in each shot boundary. In the third step, color information of upper body regions is used to extract anchor object, which produces candidate anchor frames. Then, from the candidate anchor frames, a graph-theoretic cluster analysis algorithm is utilized to classify the news video into anchor-person frames and non-anchor frames. Experiment results have shown the effectiveness of the proposed algorithm.
Keywords
anchor frame detection; object extraction; graph-theoretic cluster algorithm;
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