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Anchor Frame Detection in News Video Using Anchor Object Extraction

Title
Anchor Frame Detection in News Video Using Anchor Object Extraction
Author
문영식
Keywords
shot change detection; anchor frame extraction; anchor object extraction; graph-theoretic clustering
Issue Date
2004-07
Publisher
대한전자공학회
Citation
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications, Page. 738-741
Abstract
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.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01738104&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/149422
Appears in Collections:
COLLEGE OF COMPUTING(소프트웨어융합대학)[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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