Use of Probabilistic Clusters Supports for Broadcast News Segmentation

Broadcast news segmentation is a recognised important task in audiovisual archives retrieval systems. Though research is very active in the field, the problem has not been satisfactorily solved yet. This paper presents a promising novel methodology at segmenting news programmes based on a probabilistic approach, and innovative evaluation framework to assess the performance of the proposed techniques. Experimental results are very encouraging w.r.t. state of the art. Additionally the method has revealed very robust against the various editorial formats of news programmes.