11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Content-Based Advertisement Detection

Patrick Cardinal, Vishwa Gupta, Gilles Boulianne

CRIM, Canada

Television advertising is widely used by companies to promote their products among the public but it is hard for an advertiser to know if its advertisements are broadcast as they should. For this reason, some companies are specialized in the monitoring of audio/video streams for validating that ads are broadcast according to what was requested and paid for by the advertiser. The procedure for searching specific ads in an audio stream is very similar to the copy detection task for which we have developed very efficient algorithms. This work reports results of applying our copy detection algorithms to the advertisement detection task. Compared to a commercial software, we detected 18% more advertisements and the system runs at 0.003x of real-time.

Full Paper

Bibliographic reference.  Cardinal, Patrick / Gupta, Vishwa / Boulianne, Gilles (2010): "Content-based advertisement detection", In INTERSPEECH-2010, 2214-2217.