Title :
Tree-structured multiple description coding
Author_Institution :
Comput. Sci. Dept., Univ. Libre de Bruxelles, Brussels, Belgium
fDate :
6/23/1905 12:00:00 AM
Abstract :
Multiple description coding aims at transmitting two mutually refinable descriptions of a source on two different channels. It is successfully applied to transmission of multimedia signals on diversity systems or packet-switched networks. We present simple algorithms for the design of multiply-descriptive tree-structured vector quantizers with linear encoding complexity. These algorithms allow for both the rate and distortion constraints in a natural way and are shown to yield quantizers that are competitive with full-search codes in terms of rate-distortion performance
Keywords :
source coding; telecommunication channels; trees (mathematics); vector quantisation; distortion constraints; diversity systems; full-search codes; linear encoding complexity; multimedia signals; multiply-descriptive tree-structured vector quantizers; packet-switched networks; rate constraints; rate-distortion performance; tree-structured multiple description coding; Computer science; Data communication; Decoding; Distortion measurement; Entropy; Lagrangian functions; Multimedia systems; Mutual information; Rate-distortion; Vectors;
Conference_Titel :
Signal Processing Systems, 2001 IEEE Workshop on
Conference_Location :
Antwerp
Print_ISBN :
0-7803-7145-3
DOI :
10.1109/SIPS.2001.957369
