Inter-Video Similarity For Video Parsing

In this paper we present a method for automatic detection of visual patterns in a given news video format by investigating similarities in a set of videos of that format. The approach aims at reducing the manual effort needed to create models of news broadcast formats for automatic video indexing and retrieval. Our algorithm has only very few parameters and can be run fully unsupervised. It shows good performance on a news format of the TRECVID'03 data which had already been modified with hand-selected visual patterns and served as ground truth for evaluation.