Robust TV Commercial Detection Based on Audiovisual Features

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.