Abstract

Video segmentation is the first and critical step in video indexing and retrieval. Previous work in this area has primarily focused on visual and audio information. In this paper, we investigate the segmentation of documentary video data through audio and text understanding. To segment a continuous documentary video stream into subtopic segments, music markers and domain-independent video speech text segmentation are explored. Experiments are presented and discussed.

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