DocumentCode :
2382878
Title :
Joint source-channel coding of scalable video with partially coded index assignment using Reed-Muller codes
Author :
Feideropoulou, Georgia ; Fowler, James E. ; Pezquet-Popescu, B. ; Belfiore, Jean-Claude
Author_Institution :
ENST Paris, France
Volume :
3
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
Joint source-channel coding of scalable video using motion-compensated temporal filtering is considered. The proposed coding scheme consists of a structured vector quantizer based on lattice constellations and a linear index assignment, which minimizes simultaneously the channel and source distortions. Both uncoded linear index assignment as well as partially coded linear index assignment via Reed-Muller codes are considered. The proposed system is compared to an unstructured quantizer with minimax index assignment. Simulation results indicate that, for a Gaussian channel, the structured-codebook scheme is very robust, maintaining near-noiseless performance even when the channel is very noisy. Additionally, the proposed structured-quantizer scheme outperforms its unstructured counterpart when channel noise levels are high.
Keywords :
Gaussian channels; Reed-Muller codes; combined source-channel coding; filtering theory; minimax techniques; motion compensation; vector quantisation; video coding; Gaussian channel; Reed-Muller codes; joint source-channel coding; linear index assignment; minimax index assignment; motion-compensated temporal filtering; partially coded index assignment; scalable video; structured vector quantizer; structured-codebook scheme; Channel coding; Constellation diagram; Couplings; Gaussian channels; Gaussian noise; Minimax techniques; Noise level; Noise robustness; Source coding; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530535
Filename :
1530535
Link To Document :
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