A content-based news video retrieval system: NVRS

Huayong Liu; Tingting He

doi:10.1117/12.832407

30 October 2009 A content-based news video retrieval system: NVRS

Huayong Liu, Tingting He

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74960U (2009) https://doi.org/10.1117/12.832407
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This paper focus on TV news programs and design a content-based news video browsing and retrieval system, NVRS, which is convenient for users to fast browsing and retrieving news video by different categories such as political, finance, amusement, etc. Combining audiovisual features and caption text information, the system automatically segments a complete news program into separate news stories. NVRS supports keyword-based news story retrieval, category-based news story browsing and generates key-frame-based video abstract for each story. Experiments show that the method of story segmentation is effective and the retrieval is also efficient.

Citation Download Citation

Huayong Liu and Tingting He "A content-based news video retrieval system: NVRS", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960U (30 October 2009); https://doi.org/10.1117/12.832407

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