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2006 IEEE International Conference on Multimedia and Expo
Controlled Complexity Map Decoding of CABAC Encoded Data
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Salma Jamaa, LSS - CNRS - Sup?lec - Universit? Paris-Sud XI, Plateau de Moulon, 91192 Gif-sur-Yvette, France
Michel Kieffer, LSS - CNRS - Sup?lec - Universit? Paris-Sud XI, Plateau de Moulon, 91192 Gif-sur-Yvette, France
Pierre Duhamel, LSS - CNRS - Sup?lec - Universit? Paris-Sud XI, Plateau de Moulon, 91192 Gif-sur-Yvette, France
In this paper, we present a joint source-channel decoding technique based on exact MAP estimation for data encoded by CABAC (Context-based Adaptive Binary Arithmetic Coding) in standards like H.264/AVC. Soft decoding is put at work using an improved sequential decoding technique, achieving a trade-off between complexity and efficiency of the proposed algorithms. Error detection is realized by exploiting the binarization scheme and redundancy left in the code string, so that CABAC compression efficiency is preserved and no additional redundancy is compulsory.
Citation:
Salma Jamaa, Michel Kieffer, Pierre Duhamel, "Controlled Complexity Map Decoding of CABAC Encoded Data," icme, pp.1441-1444, 2006 IEEE International Conference on Multimedia and Expo, 2006
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