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

  • Authors:
  • Jiping Liu;Yanxiang He;Min Peng

  • Affiliations:
  • Wuhan University;Wuhan University;Wuhan University

  • Venue:
  • CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
  • Year:
  • 2004

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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 segentation 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 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.