Abstract
An advanced content-based news video browsing and retrieval system, NBR, 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, keyframe-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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Liu, H., He, T., & Zhang, H. (2007). NBR: A content-based news video browsing and retrieval system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4469 LNCS, pp. 793–800). Springer Verlag. https://doi.org/10.1007/978-3-540-73011-8_76
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