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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Liu Huayong, (author) / Zhou Dongru, (author)


    Publication date :

    2003-01-01


    Size :

    327467 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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

    Huayong, L. / Dongru, Z. / IEEE | British Library Conference Proceedings | 2003



    Content Description for Efficient Video Navigation, Browsing and Personalization

    van Beek, P. / Sezan, I. / Ponceleon, D. et al. | British Library Conference Proceedings | 2000



    A browsing and retrieval system for driving data

    Naito, Masashi / Miyajima, Chiyomi / Nishino, Takanori et al. | IEEE | 2010