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Anchor frame detection in news video using anchor object extraction

Authors
Park, Ki TaeHwang, Doo SunMoon, Young Shik
Issue Date
Jun-2005
Publisher
Oxford University Press
Keywords
shot change detection; anchor frame extraction; anchor object extraction; graph-theoretic clustering
Citation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, v.E88A, no.6, pp 1525 - 1528
Pages
4
Indexed
SCIE
SCOPUS
Journal Title
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume
E88A
Number
6
Start Page
1525
End Page
1528
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/45904
DOI
10.1093/ietfec/e88-a.6.1525
ISSN
0916-8508
1745-1337
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 anchorperson shots and non-anchor shots. Experimental results have shown the effectiveness of the proposed algorithm.
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