The paper presents an approach, which exploits multimodal information (video, audio and text) to automatically parse news video. In the paper, audio features extraction, as well as multimodal information integration scheme, are addressed in detail. Integration of multiple information sources can overcome the weakness of the approach only exploiting the image analysis techniques. That makes our approach have wider adaptation to variable existence situations of news items. On test data with 184 100 frames, when the system detects bound-aries between news items,the recall95.1％and the accuracy93.3％are obtained.The experiment results show the approach is valid and robust.