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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    Title :

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


    Contributors:
    Mrak, M. (author) / Marpe, D. (author) / Grgic, S. (author)


    Publication date :

    2003-01-01


    Size :

    520767 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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