A comparison of two context-modeling methods, CABAC and GRASP, is presented with regard to applications in video compression. Both context-based entropy coding methods are tested for various probability estimation techniques, for different sources, and for different quantization parameters by using the test model of the H.264/AVC video coding standard. Our experimental results show that GRASP provides a significant gain over CABAC, especially for intra frames coded at medium to high bit-rates.


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    Titel :

    Comparison of context-based adaptive binary arithmetic coders in video compression


    Beteiligte:
    Mrak, M. (Autor:in) / Marpe, D. (Autor:in) / Grgic, S. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    520767 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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