A temporal and visual analysis-based approach to commercial detection in news video

Authors:
Shijin Li;Yue-Fei Guo;Hao Li
Affiliations:
School of Computer & Information Engineering, Hohai University, Nanjing, China;Department of Computer Science & Engineering, Fudan University, Shanghai, China;School of Computer & Information Engineering, Hohai University, Nanjing, China
Venue:
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Year:
2007

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Abstract

The detection of commercials in news video has been a challenging problem because of the diversity of the production styles of commercial programs. In this paper, the authors present a novel algorithm for the detection of commercials in news program. By the method suggested, 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 located by analyzing the average duration of preceding and subsequent shots and the visual features of the shots, such as color, saturation and edge distribution. The experiment results show that the proposed algorithm is effective with high precision.