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We address the task of advertisement detection in broadcast televisioncontent. While typically approached from a video-only or audio-visualperspective, we present an audio-only method. Our approach centres on thedetection of short silences which exist at the boundaries between programmingand advertising, as well as between the advertisements themselves. To identifyadvertising regions we first locate all points within the broadcast contentwith very low signal energy. Next, we use a multiple linear regression model toreject non-boundary silences based on features extracted from the local contextimmediately surrounding the silence. Finally, we determine the advertisingregions based on the long-term grouping of detected boundary silences. Whenevaluated over a 26 hour annotated database covering national and commercialPortuguese television channels we obtain a Matthews correlation coefficient inexcess of 0.87 and outperform a freely available audio-visual approach.

An audio-only method for advertisement detection in broadcast television content