NBR: a content-based news video browsing and retrieval system

Authors:
Huayong Liu;Tingting He;Hui Zhang
Affiliations:
Department of Computer Science, Central China Normal University, Wuhan, Hubei, P.R. China;Department of Computer Science, Central China Normal University, Wuhan, Hubei, P.R. China;Finance Department of Business School, Wuhan University, Wuhan, Hubei, P.R. China
Venue:
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
Year:
2007

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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.