Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser Applications

We present a novel rate allocation technique for distributed multiuser video coding systems without the need for a permanent feedback channel. Based on analytical calculations, the system unequally distributes the available bandwidth among the different users, taking into account the actual amount o...

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Main Authors: Béatrice Pesquet-Popescu, Joumana Farah, Charles Yaacoub
Format: Article
Language:English
Published: SpringerOpen 2008-12-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://dx.doi.org/10.1155/2008/427247
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spelling doaj-4da104b248cd4454abd8b11e28b18a5c2020-11-25T00:37:43ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992008-12-01200810.1155/2008/427247Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser ApplicationsBéatrice Pesquet-PopescuJoumana FarahCharles YaacoubWe present a novel rate allocation technique for distributed multiuser video coding systems without the need for a permanent feedback channel. Based on analytical calculations, the system unequally distributes the available bandwidth among the different users, taking into account the actual amount of movement in the transmitted video as well as the transmission conditions of each user. On one hand, the quantization parameters are dynamically tuned in order to optimize the decoding quality. On the other hand, a frame dropping mechanism allows the system to avoid unnecessary channel use, when the analytical estimations show that the successful decoding of a given frame is not possible because of very high motion or bad channel conditions. A significant gain in the system performance is noticed compared with the case of equal allocation of channel resources and constant quantization parameters.http://dx.doi.org/10.1155/2008/427247
collection DOAJ
language English
format Article
sources DOAJ
author Béatrice Pesquet-Popescu
Joumana Farah
Charles Yaacoub
spellingShingle Béatrice Pesquet-Popescu
Joumana Farah
Charles Yaacoub
Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser Applications
EURASIP Journal on Wireless Communications and Networking
author_facet Béatrice Pesquet-Popescu
Joumana Farah
Charles Yaacoub
author_sort Béatrice Pesquet-Popescu
title Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser Applications
title_short Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser Applications
title_full Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser Applications
title_fullStr Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser Applications
title_full_unstemmed Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser Applications
title_sort feedback channel suppression in distributed video coding with adaptive rate allocation and quantization for multiuser applications
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2008-12-01
description We present a novel rate allocation technique for distributed multiuser video coding systems without the need for a permanent feedback channel. Based on analytical calculations, the system unequally distributes the available bandwidth among the different users, taking into account the actual amount of movement in the transmitted video as well as the transmission conditions of each user. On one hand, the quantization parameters are dynamically tuned in order to optimize the decoding quality. On the other hand, a frame dropping mechanism allows the system to avoid unnecessary channel use, when the analytical estimations show that the successful decoding of a given frame is not possible because of very high motion or bad channel conditions. A significant gain in the system performance is noticed compared with the case of equal allocation of channel resources and constant quantization parameters.
url http://dx.doi.org/10.1155/2008/427247
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