Multimodal News Story Segmentation

In this paper, we describe a multi-modal approach to segmenting news video based on the perceived shift in content. We divide up a video document into logically coherent semantic units known as stories. We investigate the effectiveness of a number of multimedia features which serve as potential indicators of a story boundary. The results show an improvement of performance over current state of the art story segmenters.