DocumentCode :
394737
Title :
Embedded multiple description scalar quantizers for progressive image transmission
Author :
Gavrilescu, A.I. ; Munteanu, A. ; Schelkens, P. ; Cornelis, J.
Author_Institution :
Dept. of Electron. & Inf. Process., Vrije Univ., Brussels, Belgium
Volume :
5
fYear :
2003
fDate :
6-10 April 2003
Abstract :
Robust progressive image transmission over unreliable channels with variable bandwidth requires multiple description coding (MDC) systems that produce highly error-resilient embedded bitstreams. The proposed embedded multiple description scalar quantizers (EMDSQ) meet the desired features consisting of a high redundancy level, fine grain rate adaptation and progressive transmission of each description. Experimental results show that EMDSQ yield better rate-distortion performance in comparison to the multiple description uniform scalar quantizers; (MDUSQ) previously proposed in the literature. Moreover, the generalized form of EMDSQ targeting an arbitrary number of channels is proposed, which offers the possibility of designing realistic coders for practical multi-channel communication systems.
Keywords :
error correction codes; image coding; rate distortion theory; redundancy; variable rate codes; visual communication; MDC; embedded multiple description scalar quantizers; error-resilient embedded bitstreams; fine grain rate adaptation; multi-channel communication systems; multiple description coding; rate-distortion performance; redundancy level; robust progressive image transmission; unreliable channels; variable bandwidth; Bandwidth; Communication systems; Image coding; Image communication; Information processing; Rate-distortion; Redundancy; Robustness; Streaming media; Telecommunication network reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1200076
Filename :
1200076
Link To Document :
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