Robust Commercial Detection System
Automatic detection of commercials embedded in digital video materials is a challenging task. In this paper, a three-phase system of commercial detection is constructed. Firstly, video shots and audio cuts are detected respectively and scene boundaries are refined by fusing the audio and video information simultaneously. Then, a SVM classifier is applied to classifying these shots as program shots or commercial ones. Finally, in order to make the commercial segments more accurate, the identity of time-spatial content of commercial shots is fully exploited to eliminate those falsely classified commercial ones, based on which the individual commercial shots can be integrated into the commercial sequences ultimately. The final test results on 30 clips of TV videos verify the practicality of the constructed system.