This paper presents real-time, or near real-time, probabilistic event detection methods for broadcast sports video using cinematic features, such as shot classes and slow-motion replays. Novel algorithms have been developed for probabilistic detection of soccer goal events and basketball play-break events in a generic framework. The proposed framework includes generic algorithms for automatic dominant (field) color region detection and shot boundary detection, and domain-specific shot classification algorithms for soccer and basketball. Finally, the detected goal events in soccer and play events in basketball are employed to generate summaries of long games. The efficiency and effectiveness of the proposed system and the algorithms have been shown over more than 13 hours of sports video captured by the broadcasters from different regions around the world.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Generic Event Detection in Sports Video using Cinematic Features


    Beteiligte:
    Ekin, Ahmet (Autor:in) / Tekalp, A. Murat (Autor:in)


    Erscheinungsdatum :

    01.06.2003


    Format / Umfang :

    363277 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Hierarchical Framework for Generic Sports Video Classification

    Kolekar, M. H. / Sengupta, S. | British Library Conference Proceedings | 2006


    Volumetric Features for Video Event Detection

    Ke, Y. / Sukthankar, R. / Hebert, M. | British Library Online Contents | 2010


    Coordinated cinematic drone

    SHEFTEL BENJAMIN JAMES / WILLIAMS TRYON | Europäisches Patentamt | 2021

    Freier Zugriff

    Coordinated cinematic drone

    SHEFTEL BENJAMIN JAMES / WILLIAMS TRYON | Europäisches Patentamt | 2019

    Freier Zugriff