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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Li, S., Guo, Y. F., & Li, H. (2007). A temporal and visual analysis-based approach to commercial detection in news video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4781 LNCS, pp. 117–125). Springer Verlag. https://doi.org/10.1007/978-3-540-76414-4_12
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