A Content-Based News Video Browsing and Retrieval System: NewsBR
Identifieur interne : 003600 ( Istex/Corpus ); précédent : 003599; suivant : 003601A Content-Based News Video Browsing and Retrieval System: NewsBR
Auteurs : Huayong Liu ; Zhang HuiSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/978-3-540-30542-2_25
Links to Exploration step
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<front><div type="abstract" xml:lang="en">Abstract: 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.</div>
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<abstract>Abstract: 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.</abstract>
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<abstract xml:lang="en"><p>Abstract: 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.</p>
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<Para>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.</Para>
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<abstract lang="en">Abstract: 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.</abstract>
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