Comparison and combination of two novel commercial detection methods

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Comparison_and_combination_of_two_novel_commercial_detection_methods.pdf (305.8 KB)

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

Type

Conference Paper

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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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Keywords

Algorithms , Heuristic methods , Image analysis , Mathematical models , Pattern matching , Vectors , Web browsers , Commercial detection methods , Heuristic pattern matching , Video materials , Broadcasting

Citation

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http://hdl.handle.net/11693/27417

item.page.isversionof

https://doi.org/10.1109/ICME.2004.1394454

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Department of Computer Engineering