Title :
Multiple-description vector quantization using translated lattices with local optimization [joint source/channel coding]
Author :
Zhao, David Y. ; Kleijn, W.B.
Author_Institution :
R. Inst. of Technol., Stockholm, Sweden
fDate :
29 Nov.-3 Dec. 2004
Abstract :
Multiple-description coding is a joint source- and channel coding technique suitable for real-time multimedia transmission over erasure channels. This work improves the previous methods of multiple-description vector quantization using lattice structured codebooks by introducing translated lattices in the single-description codebooks. The quantizer can easily adapt to the current channel conditions, using the locally optimized combined-description codebooks, assuming that channel statistics are available at the encoder. Compared to previous methods, the central distortion is greatly reduced for noisy channels, without a significant effect on complexity.
Keywords :
combined source-channel coding; multimedia communication; optimisation; vector quantisation; central distortion reduction; encoder channel statistics; erasure channels; joint source/channel coding; lattice structured codebooks; local optimization; locally optimized codebooks; multiple-description coding; multiple-description vector quantization; noisy channels; real-time multimedia transmission; single-description codebook translated lattices; Channel coding; Decoding; Lattices; Multimedia systems; Noise reduction; Packet switching; Real time systems; Sensor systems; Statistics; Vector quantization;
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
DOI :
10.1109/GLOCOM.2004.1377909