An advanced content-based news video browsing and retrieval system, NewsBR, is proposed in this work. The system is built on high-accuracy news story segmentation and topic caption text extraction. Its main features include category-based news story browsing, key-frame-based video abstract and keyword-based news story retrieval. In the paper, news story segmentation and topic caption text extraction, as well as content-based video browsing and retrieval, are addressed in detail. The system is helpful and effective for the overall understanding of the news video content.
NewsBR: a content-based news video browsing and retrieval system
2003-01-01
327467 byte
Conference paper
Electronic Resource
English
NewsBR: a Content-Based News Video Browsing and Retrieval System
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