NBR:A Content-Based News Video Browsing and Retrieval System
Identifieur interne : 001385 ( Istex/Curation ); précédent : 001384; suivant : 001386NBR:A Content-Based News Video Browsing and Retrieval System
Auteurs : Huayong Liu [République populaire de Chine] ; Tingting He [République populaire de Chine] ; Hui Zhang [République populaire de Chine]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
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, 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.
Url:
DOI: 10.1007/978-3-540-73011-8_76
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<front><div type="abstract" xml:lang="en">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, 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.</div>
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