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Matching Pursuits Multiple Description Coding for Wireless Video
Matching Pursuits Multiple Description
Coding for Wireless Video
Xiaoyi Tang and Avideh Zakhor
Abstract
Multiple description coding (MDC) is an error resilient
source coding scheme that creates multiple bitstreams of
approximately equal importance. The reconstructed signal
based on any single bitstream has an acceptable quality.
However, a higher quality reconstruction can be achieved
with larger number of bitstreams. We develop a multiple
(2) description video coding scheme based on the 3 loop
structure originally proposed in [1]. We modify the discrete
cosine transform structure to the matching pursuits frame-
work and evaluate performance gain using maximum likeli-
hood (ML) enhancement when both descriptions are avail-
able. We find that ML enhancement works best for low mo-
tion sequences and results in gains of up to 1.3 dB in terms
of average PSNR. Rate distortion performance is character-
ized. Performance comparison is made between our MDC
scheme and single description coding (SDC) schemes over
lossy channels, including two state Markov channels and
Rayleigh fading channels. We find that MDC outperforms
SDC in bursty slowly varying environments. In the case of
Rayleigh fading channels, interleaving helps SDC close the
gap and even outperform MDC depending on the amount
of interleaving performed, at the expense of additional de-
lay.
I. Introduction
Multiple description coding (MDC) generates multiple
encoded bitstreams of a source and sends them through
several independent channels. The source can be recon-
structed at a lower yet acceptable quality from any single
bitstream, and at a higher quality from more bitstreams.
Unlike layered coding which requires correct reception of
the base layer for enhancement layers to be useful, MDC
can reconstruct the source from any subset of bitstreams.
MDC provides a robust source coding scheme for commu-
nication over unreliable channels without quality-of-service
(QoS) guarantee.
Early work on MDC was focused on theor
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