Improving sequential decoding of CABAC encoded data via objective adjustment of the complexity-efficiency trade-off

Salma Ben Jamaa; Michel Kieffer; Pierre Duhamel

doi:10.1117/12.642863

19 January 2006 Improving sequential decoding of CABAC encoded data via objective adjustment of the complexity-efficiency trade-off

Salma Ben Jamaa, Michel Kieffer, Pierre Duhamel

Author Affiliations +

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60770F (2006) https://doi.org/10.1117/12.642863
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

In this paper, we present a joint source channel decoding technique for CABAC encoded data based on sequential decoding. The proposed method is developed to be compatible with CABAC features, i.e., handling binary arithmetic coding, adaptive probabilities, and context modeling. Redundancy due to the binarization step is exploited and no extra redundancy is compulsory. An hypothesis test allowing to adjust the trade-off between decoding complexity and error resilience performances is proposed. Simulation results show that our method outperforms those using classical sequential algorithms.

Citation Download Citation

Salma Ben Jamaa, Michel Kieffer, and Pierre Duhamel "Improving sequential decoding of CABAC encoded data via objective adjustment of the complexity-efficiency trade-off", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770F (19 January 2006); https://doi.org/10.1117/12.642863

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