Audio Recurrence Contribution to a Video-based TV Program Structuring Approach

This paper addresses the problem of unsupervised TV programs structuring. Program structuring allows direct and non linear access to the desired parts of a program. Our work addresses the structuring of recurrent TV programs like news, entertainment programs, TV shows, TV magazines. In a previous work we proposed a program structuring method based on the detection of video recurrences. In this paper we extend our study to audio recurrences and verify their influence on the final structuring. We evaluate the structuring results on both approaches (audio and video) separately and jointly. We use for evaluation a 62 hours dataset corresponding to 97 episodes of TV programs.