NDLI: Improved Multiple Description Framework Based on Successively Refinable Quantization and Uneven Erasure Protection

Content Provider	IEEE Xplore Digital Library
Author	Dumitrescu, S. Ting Zheng
Copyright Year	2008
Description	Author affiliation: McMaster Univ., Hamilton (Dumitrescu, S.; Ting Zheng)
Abstract	A method to produce balanced multiple descriptions (MD) of a source is by successively refinable quantization (SRQ) in conjunction with uneven erasure protection (UEP) (Goyal, 2001; and Tian and Hemami, 2004). This work proposes an improvement to this balanced MD coding framework. In order to generate L descriptions, the set of source samples is first partitioned into L subsets of equal size, then each subset is quantized separately. Further, interleaved systematic Reed Solomon codes of codelength L and decreasing strengths are applied across the streams output by the SRQs. The improvement over the previous UEP-based MD code is evaluated using the expected distortion of the source reconstruction at the decoder as a performance measure. For a Gaussian memory-less source, the asymptotical improvement in performance, as the rate and code block length approach infin, can attain as much as 1.68 dB (for L = 3 and very low probability of description loss), with a tendency to decrease as the number of descriptions and the rate of description loss increase. In the practical setting using scalar SRQ, small rates and small L, the observed improvement generally matches the asymptotical values.
Starting Page	514
Ending Page	514
File Size	104548
Page Count	1
File Format	PDF
ISBN	9780769531212
ISSN	10680314
DOI	10.1109/DCC.2008.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization Protection Refining Error correction codes Data compression Reed-Solomon codes Decoding Distortion measurement Performance loss Signal design
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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