Scalable Multiple-Description Image Coding Based on Embedded Quantization

Scalable multiple-description (MD) coding allows for fine-grain rate adaptation as well as robust coding of the input source. In this paper, we present a new approach for scalable MD coding of images, which couples the multiresolution nature of the wavelet transform with the robustness and scalabili...

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Main Authors: Augustin I. Gavrilescu, Fabio Verdicchio, Adrian Munteanu, Ingrid Moerman, Jan Cornelis, Peter Schelkens
Format: Article
Language:English
Published: SpringerOpen 2007-02-01
Series:EURASIP Journal on Image and Video Processing
Online Access:http://dx.doi.org/10.1155/2007/81813
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author Augustin I. Gavrilescu
Fabio Verdicchio
Adrian Munteanu
Ingrid Moerman
Jan Cornelis
Peter Schelkens
author_facet Augustin I. Gavrilescu
Fabio Verdicchio
Adrian Munteanu
Ingrid Moerman
Jan Cornelis
Peter Schelkens
author_sort Augustin I. Gavrilescu
collection DOAJ
description Scalable multiple-description (MD) coding allows for fine-grain rate adaptation as well as robust coding of the input source. In this paper, we present a new approach for scalable MD coding of images, which couples the multiresolution nature of the wavelet transform with the robustness and scalability features provided by embedded multiple-description scalar quantization (EMDSQ). Two coding systems are proposed that rely on quadtree coding to compress the side descriptions produced by EMDSQ. The proposed systems are capable of dynamically adapting the bitrate to the available bandwidth while providing robustness to data losses. Experiments performed under different simulated network conditions demonstrate the effectiveness of the proposed scalable MD approach for image streaming over error-prone channels.
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spelling doaj.art-7eba2f6564c1424c96c1e8e9a7c003702022-12-21T19:09:48ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-51761687-52812007-02-01200710.1155/2007/81813Scalable Multiple-Description Image Coding Based on Embedded QuantizationAugustin I. GavrilescuFabio VerdicchioAdrian MunteanuIngrid MoermanJan CornelisPeter SchelkensScalable multiple-description (MD) coding allows for fine-grain rate adaptation as well as robust coding of the input source. In this paper, we present a new approach for scalable MD coding of images, which couples the multiresolution nature of the wavelet transform with the robustness and scalability features provided by embedded multiple-description scalar quantization (EMDSQ). Two coding systems are proposed that rely on quadtree coding to compress the side descriptions produced by EMDSQ. The proposed systems are capable of dynamically adapting the bitrate to the available bandwidth while providing robustness to data losses. Experiments performed under different simulated network conditions demonstrate the effectiveness of the proposed scalable MD approach for image streaming over error-prone channels.http://dx.doi.org/10.1155/2007/81813
spellingShingle Augustin I. Gavrilescu
Fabio Verdicchio
Adrian Munteanu
Ingrid Moerman
Jan Cornelis
Peter Schelkens
Scalable Multiple-Description Image Coding Based on Embedded Quantization
EURASIP Journal on Image and Video Processing
title Scalable Multiple-Description Image Coding Based on Embedded Quantization
title_full Scalable Multiple-Description Image Coding Based on Embedded Quantization
title_fullStr Scalable Multiple-Description Image Coding Based on Embedded Quantization
title_full_unstemmed Scalable Multiple-Description Image Coding Based on Embedded Quantization
title_short Scalable Multiple-Description Image Coding Based on Embedded Quantization
title_sort scalable multiple description image coding based on embedded quantization
url http://dx.doi.org/10.1155/2007/81813
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AT ingridmoerman scalablemultipledescriptionimagecodingbasedonembeddedquantization
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