Scalable Multiple-Description Image Coding Based on Embedded Quantization

Augustin Gavrilescu, Fabio Verdicchio, Adrian Munteanu, Ingrid Moerman, Jan Cornelis, Peter Schelkens

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number81813
Number of pages11
JournalEURASIP Journal of Image and Video Processing
Volume2007
DOIs
Publication statusPublished - Jan 2007

Fingerprint

Image coding
Wavelet transforms
Scalability
Bandwidth
Experiments

Cite this

Scalable Multiple-Description Image Coding Based on Embedded Quantization. / Gavrilescu, Augustin; Verdicchio, Fabio; Munteanu, Adrian; Moerman, Ingrid; Cornelis, Jan; Schelkens, Peter.

In: EURASIP Journal of Image and Video Processing, Vol. 2007, 81813, 01.2007.

Research output: Contribution to journalArticle

Gavrilescu, Augustin ; Verdicchio, Fabio ; Munteanu, Adrian ; Moerman, Ingrid ; Cornelis, Jan ; Schelkens, Peter. / Scalable Multiple-Description Image Coding Based on Embedded Quantization. In: EURASIP Journal of Image and Video Processing. 2007 ; Vol. 2007.
@article{0e7b42274ae64c2795cf5f58782b9057,
title = "Scalable Multiple-Description Image Coding Based on Embedded Quantization",
abstract = "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.",
author = "Augustin Gavrilescu and Fabio Verdicchio and Adrian Munteanu and Ingrid Moerman and Jan Cornelis and Peter Schelkens",
year = "2007",
month = "1",
doi = "10.1155/2007/81813",
language = "English",
volume = "2007",
journal = "EURASIP Journal of Image and Video Processing",
issn = "1687-5176",
publisher = "Springer Publishing Company",

}

TY - JOUR

T1 - Scalable Multiple-Description Image Coding Based on Embedded Quantization

AU - Gavrilescu, Augustin

AU - Verdicchio, Fabio

AU - Munteanu, Adrian

AU - Moerman, Ingrid

AU - Cornelis, Jan

AU - Schelkens, Peter

PY - 2007/1

Y1 - 2007/1

N2 - 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.

AB - 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.

U2 - 10.1155/2007/81813

DO - 10.1155/2007/81813

M3 - Article

VL - 2007

JO - EURASIP Journal of Image and Video Processing

JF - EURASIP Journal of Image and Video Processing

SN - 1687-5176

M1 - 81813

ER -