Robust TV commercial detection based on audiovisual features

Shih-Hung Lee; Chia-Hung Yeh; C.-C. J. Jay Kuo

doi:10.1117/12.486775

8 August 2003 Robust TV commercial detection based on audiovisual features

Shih-Hung Lee, Chia-Hung Yeh, C.-C. J. Jay Kuo

Proceedings Volume 5108, Visual Information Processing XII; (2003) https://doi.org/10.1117/12.486775
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

A robust TV commercial detection system is proposed in this research. Even though several methods were investigated to address the TV commercial detection problem and interesting results were obtained before, most previous work focuses on features within a short temporal window. These methods are suitable for on-line detection, but often result in higher false alarm rates as a trade-off. To reduce the false alarm rate, we explore audiovisual features in a larger temporal window. Specifically, we group shots into scenes using audio data processing, and then obtain features that are related to commercial characteristics from scenes. Experimental results are given to demonstrate the effectiveness of the proposed system.

Citation Download Citation

Shih-Hung Lee, Chia-Hung Yeh, and C.-C. J. Jay Kuo "Robust TV commercial detection based on audiovisual features", Proc. SPIE 5108, Visual Information Processing XII, (8 August 2003); https://doi.org/10.1117/12.486775

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