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Proceedings Paper

Improving sequential decoding of CABAC encoded data via objective adjustment of the complexity-efficiency trade-off
Author(s): Salma Ben Jamaa; Michel Kieffer; Pierre Duhamel
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Paper 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.

Paper Details

Date Published: 19 January 2006
PDF: 9 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770F (19 January 2006); doi: 10.1117/12.642863
Show Author Affiliations
Salma Ben Jamaa, LSS - CNRS - Supelec, Univ. Paris XI (France)
Michel Kieffer, LSS - CNRS - Supelec, Univ. Paris XI (France)
Pierre Duhamel, LSS - CNRS - Supelec, Univ. Paris XI (France)


Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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