End-to-End Rate-Distortion Optimized MD Mode Selection for Multiple Description Video Coding

<p/> <p>Multiple description (MD) video coding can be used to reduce the detrimental effects caused by transmission over lossy packet networks. A number of approaches have been proposed for MD coding, where each provides a different tradeoff between compression efficiency and error resil...

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Main Authors: Apostolopoulos John G, Heng Brian A, Lim Jae S
Format: Article
Language:English
Published: SpringerOpen 2006-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/ASP/2006/32592
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spelling doaj-ff366a4e39c24750b2de72e6ac293f932020-11-24T21:16:06ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061032592End-to-End Rate-Distortion Optimized MD Mode Selection for Multiple Description Video CodingApostolopoulos John GHeng Brian ALim Jae S<p/> <p>Multiple description (MD) video coding can be used to reduce the detrimental effects caused by transmission over lossy packet networks. A number of approaches have been proposed for MD coding, where each provides a different tradeoff between compression efficiency and error resilience. How effectively each method achieves this tradeoff depends on the network conditions as well as on the characteristics of the video itself. This paper proposes an adaptive MD coding approach which adapts to these conditions through the use of adaptive MD mode selection. The encoder in this system is able to accurately estimate the expected end-to-end distortion, accounting for both compression and packet loss-induced distortions, as well as for the bursty nature of channel losses and the effective use of multiple transmission paths. With this model of the expected end-to-end distortion, the encoder selects between MD coding modes in a rate-distortion (R-D) optimized manner to most effectively tradeoff compression efficiency for error resilience. We show how this approach adapts to both the local characteristics of the video and network conditions and demonstrates the resulting gains in performance using an H.264-based adaptive MD video coder.</p> http://dx.doi.org/10.1155/ASP/2006/32592
collection DOAJ
language English
format Article
sources DOAJ
author Apostolopoulos John G
Heng Brian A
Lim Jae S
spellingShingle Apostolopoulos John G
Heng Brian A
Lim Jae S
End-to-End Rate-Distortion Optimized MD Mode Selection for Multiple Description Video Coding
EURASIP Journal on Advances in Signal Processing
author_facet Apostolopoulos John G
Heng Brian A
Lim Jae S
author_sort Apostolopoulos John G
title End-to-End Rate-Distortion Optimized MD Mode Selection for Multiple Description Video Coding
title_short End-to-End Rate-Distortion Optimized MD Mode Selection for Multiple Description Video Coding
title_full End-to-End Rate-Distortion Optimized MD Mode Selection for Multiple Description Video Coding
title_fullStr End-to-End Rate-Distortion Optimized MD Mode Selection for Multiple Description Video Coding
title_full_unstemmed End-to-End Rate-Distortion Optimized MD Mode Selection for Multiple Description Video Coding
title_sort end-to-end rate-distortion optimized md mode selection for multiple description video coding
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2006-01-01
description <p/> <p>Multiple description (MD) video coding can be used to reduce the detrimental effects caused by transmission over lossy packet networks. A number of approaches have been proposed for MD coding, where each provides a different tradeoff between compression efficiency and error resilience. How effectively each method achieves this tradeoff depends on the network conditions as well as on the characteristics of the video itself. This paper proposes an adaptive MD coding approach which adapts to these conditions through the use of adaptive MD mode selection. The encoder in this system is able to accurately estimate the expected end-to-end distortion, accounting for both compression and packet loss-induced distortions, as well as for the bursty nature of channel losses and the effective use of multiple transmission paths. With this model of the expected end-to-end distortion, the encoder selects between MD coding modes in a rate-distortion (R-D) optimized manner to most effectively tradeoff compression efficiency for error resilience. We show how this approach adapts to both the local characteristics of the video and network conditions and demonstrates the resulting gains in performance using an H.264-based adaptive MD video coder.</p>
url http://dx.doi.org/10.1155/ASP/2006/32592
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AT limjaes endtoendratedistortionoptimizedmdmodeselectionformultipledescriptionvideocoding
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