Comparison and combination of two novel commercial detection methods
2004 IEEE International Conference on Multimedia and Expo (ICME)
1267 - 1270
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27417
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.