In the paper, we present an approach that exploits audio and video features to automatically segment news items. Integration of audio and visual analysis can overcome the weakness of the approach only using the image analysis techniques. It brings our approach with more adaptation to variable existence situations of news items. The proposed approach identifies silence segments in accompanying audio, and integrates with shot segmentation results, as well as anchor shot detection results, to determine boundaries between news items. Experiments show that the integration of audio and video features is effective to solve the problem of automatic segmentation of news items.