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NBR:A Content-Based News Video Browsing and Retrieval System

Identifieur interne : 000E38 ( Main/Merge ); précédent : 000E37; suivant : 000E39

NBR: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 :

RBID : ISTEX:11260A3049BEC31DAF3060C77CB3DAEAB5E75893

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

Links toward previous steps (curation, corpus...)


Links to Exploration step

ISTEX:11260A3049BEC31DAF3060C77CB3DAEAB5E75893

Le document en format XML

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<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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