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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Liu Huayong, (Autor:in) / Zhou Dongru, (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    327467 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    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