Audiovisual Anchorperson Detection for Topic-Oriented Navigation in Broadcast News
This paper presents a content-based audiovisual video analysis technique for anchorperson detection in broadcast news. For topic-oriented navigation in newscasts, a segmentation of the topic boundaries is needed. As the anchorperson gives a strong indication for such boundaries, the presented technique automatically determines that high-level information for video indexing from MPEG-2 videos and stores the results in an MPEG-7 conform format. The multimodal analysis process is carried out separately in the auditory and visual modality, and the decision fusion forms the final anchorperson segments