Title :
Design of asymmetric tree-structured multiple description source codes
Author_Institution :
Comput. Sci. Dept., Univ. Libre de Bruxelles, Brussels, Belgium
Abstract :
Multiple description coding aims at transmitting two mutually refinable descriptions of a source on two different channels. Multiple description coding 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 rates 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 :
multimedia communication; source coding; telecommunication channels; tree codes; trees (mathematics); vector quantisation; asymmetric tree-structured codes; channels; distortion constraints; diversity systems; linear encoding complexity; multimedia signals; multiple description coding; packet-switched networks; rate-distortion performance; rates constraints; source codes; tree-structured vector quantizers; Algorithm design and analysis; Binary trees; Capacity planning; Channel capacity; Computer science; Decoding; Entropy; Information theory; Rate-distortion; Vectors;
Conference_Titel :
Multimedia Signal Processing, 2001 IEEE Fourth Workshop on
Conference_Location :
Cannes
Print_ISBN :
0-7803-7025-2
DOI :
10.1109/MMSP.2001.962721
