DocumentCode :
379365
Title :
Huffman tree based metric derivation for a low-complexity sequential soft VLC decoding
Author :
Perros-Meilhac, Lisa ; Lamy, Catherine
Author_Institution :
Philips Recherche France, Suresnes, France
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
783
Abstract :
This paper considers VLC decoding algorithms based on MAP sequence estimation techniques, using residual source redundancy to provide channel error correction. These algorithms rely on soft values available at the entrance of the VLC decoder. We present a new soft VLC decoding algorithm based on a sequential decoding technique that is very efficient in terms of decoding complexity. The application of the considered soft decoding algorithms to practical decoding of MPEG-4 texture information packets under the assumption of an unequal protection scheme is investigated. The algorithm performance is evaluated on the well-known "Foreman" video sequence. Simulation results show that the proposed algorithm provides approximately the same performance as all existing soft decoding algorithms while exhibiting a significantly lower complexity.
Keywords :
code standards; computational complexity; convolutional codes; data compression; error correction codes; image sequences; sequential decoding; telecommunication standards; variable length codes; video coding; Huffman tree based metric; MAP sequence estimation; MPEG-4 standard; MPEG-4 texture information packets; VLC decoding algorithms; algorithm performance evaluation; channel error correction; convolutional codes; decoding complexity; low-complexity sequential soft VLC decoding; residual source redundancy; sequential decoding; simulation results; stack algorithm; unequal protection; video sequence; Bandwidth; Channel coding; Decoding; Error correction; Error correction codes; MPEG 4 Standard; Protection; Redundancy; Video sequences; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2002. ICC 2002. IEEE International Conference on
Print_ISBN :
0-7803-7400-2
Type :
conf
DOI :
10.1109/ICC.2002.996962
Filename :
996962
Link To Document :
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