Improvement of commercial boundary detection using audiovisual features

Authors:
Jun-Cheng Chen;Jen-Hao Yeh;Wei-Ta Chu;Jin-Hau Kuo;Ja-Ling Wu
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University;Department of Computer Science and Information Engineering, National Taiwan University;Department of Computer Science and Information Engineering, National Taiwan University;Department of Computer Science and Information Engineering, National Taiwan University;Department of Computer Science and Information Engineering, National Taiwan University
Venue:
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2005

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Abstract

Detection of commercials in TV videos is difficult because the diversity of them puts up a high barrier to construct an appropriate model. In this work, we try to deal with this problem through a top-down approach. We take account of the domain knowledge of commercial production and extract features that describe the characteristics of commercials. According to the clues from speech-music discrimination, video scene detection, and caption detection, a multi-modal commercial detection scheme is proposed. Experimental results show good performance of the proposed scheme on detecting commercials in news and talk show programs.