Comparison and combination of two novel commercial detection methods

Date
2004-06
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Source Title
IEEE International Conference on Multimedia and Expo (ICME), 2004
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Publisher
IEEE
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Pages
1267 - 1270
Language
English
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Abstract

Detection and removal of commercials plays an important role when searching for important broadcast news video material. In this study, two novel approaches are proposed based on two distinctive characteristics of commercials, namely, repetitive use of commercials over time and distinctive color and audio features. Furthermore, proposed strategies for combining the results of the two methods yield even better performance. Experiments show over 90% recall and precision on a test set of 5 hours of ABC and CNN broadcast news data.

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Published Version (Please cite this version)