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Generalized multiple description vector quantization

Fleming, Michael and Effros, Michelle (1999) Generalized multiple description vector quantization. In: Data Compression Conference (DCC '99), Snowbird, UT, 29-31 March 1999. IEEE , Los Alamitos, CA, pp. 3-12. ISBN 0 7695 0096 X.

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Packet-based data communication systems suffer from packet loss under high network traffic conditions. As a result, the receiver is often left with an incomplete description of the requested data. Multiple description source coding addresses the problem of minimizing the expected distortion caused by packet loss. An equivalent problem is that of source coding for data transmission over multiple channels where each channel has some probability of breaking down. Recent work in practical multiple description coding explores the design of multiple description scalar and vector quantizers for the case of two channels or packets. This paper presents a new practical algorithm, based on a ternary tree structure, for the design of both fixed- and variable-rate multiple description vector quantizers for an arbitrary number of channels. Experimental results achieved by codes designed with this algorithm show that they perform well under a wide range of packet loss scenarios.

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Additional Information:© Copyright 2002 IEEE. Reprinted with permission. This material is based upon work supported by the Pickering Fellowship, NSF Grant No. MIP-9501977, the Intel Technology for Education 2000 program, and a grant from the Charles Lee Powell Foundation
Subject Keywords:data communication, packet switching, source coding, telecommunication traffic, trees (mathematics), vector quantization, source code design, source coding theory, network information theory
Record Number:CaltechAUTHORS:FLEdcc99
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:7426
Deposited By: Lindsay Cleary
Deposited On:13 Feb 2007
Last Modified:08 Nov 2021 20:42

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