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.
Comparison of context-based adaptive binary arithmetic coders in video compression
01.01.2003
520767 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Comparison of Context-Based Adaptive Binary Arithmetic Coders in Video Compression
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