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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
A Novel Approach to Commercial Detection in News Video
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
Shijin Li, Hohai University, China
Hao Li, Hohai University, China
Zhijian Wang, Hohai University, China
The Detection of commercials in news video has been a challenging problem because of the diversity of the commercial programs. In this paper, we propose a novel algorithm for the detection of commercials in news program. In our method, firstly shot transition detection and anchorman shot recognition are conducted, then clustering analysis is employed to label commercial blocks roughly, finally the accurate boundaries of the commercials are marked by monitoring the visual discontinuity of the shots and the average duration of subsequent shots. The experiment results show our algorithm is efficient with high recall and precision rate.
Citation:
Shijin Li, Hao Li, Zhijian Wang, "A Novel Approach to Commercial Detection in News Video," snpd, vol. 2, pp.86-90, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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