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Content Provider | IEEE Xplore Digital Library |
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Author | Hanying Feng |
Copyright Year | 2005 |
Description | Author affiliation: Dept. of Electr. Eng., Stanford Univ., CA (Hanying Feng) |
Abstract | In this paper, we first present new upper and lower bounds for the rate loss of multiple description source codes (MDSCs). For a two-description MDSC (2DSC), the rate loss of description i with distortion $D_{i}$ is $L_{i}$ = $R_{i}$ $R(Di ), i isin {1, 2}, where $R_{i}$ is the rate of the ith description; the joint rate loss associated with decoding the two descriptions together to achieve central distortion $D_{0}$ is L $_{0}$ = $R_{1}$ + $R_{2}$ - $R(D_{0}).$ We show that given any memoryless source with variance $sigma^{2}$ and mean squared error distortion measure, for any optimal 2DSC, (a) 0 les $L_{0}$ les 0.8802 if $D_{0}$ les $D_{1}$ + $D_{2}$ - $sigma^{2};$ (b) 0 les $L_{1},$ L2 les 0.4401 if $D_{0}$ ges $(1/D_{1}$ + 1/D2 - $1/sigma^{2})^{-1};$ (c) 0 les $L_{1},$ $L_{2}$ les 0.3802 and $R(max\{D_{1},$ $D_{2}\})$ - 1 les $L_{0}$ les $R(max\{D_{1},$ $D_{2}\})$ + 0.3802 otherwise. We also present a tighter bound on the distance between the El Gamal-Cover inner bound and the achievable region. In addition, these new bounds, which are easy to compute, inspire new designs of low-complexity near-optimal 2DSC. In essence, we demonstrate that any optimal 2DSC can be nearly separated into a multi-resolution source code and a traditional single-resolution code, and the resulting rate penalty for each description is less than 0.6901 bit/sample for general sources and less than 0.5 bit/sample for successively refinable sources |
Starting Page | 1798 |
Ending Page | 1802 |
File Size | 212281 |
Page Count | 5 |
File Format | |
ISBN | 0780391519 |
DOI | 10.1109/ISIT.2005.1523655 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-09-04 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Performance loss Decoding Distortion measurement Postal services Loss measurement Compression algorithms Delay systems Rate distortion theory Rate-distortion Degradation |
Content Type | Text |
Resource Type | Article |
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