Date of Original Version

6-2004

Type

Conference Proceeding

Abstract or Description

Detection and removal of commercials plays an important role when searching for important broadcast news video material. 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

DOI

10.1109/ICME.2004.1394454

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