Improving sequential decoding of CABAC encoded data via objective adjustment of the complexity-efficiency trade-off
Salma Jamaa, Michel Kieffer, Pierre Duhamel · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
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.