Unbalanced Quantized Multiple State Video Coding

<p/> <p>Multiple state video coding (MSVC) is a multiple description scheme based on frame-wise splitting of the video sequence into two or more subsequences. Each subsequence is encoded separately to generate descriptions which can be decoded independently. Due to subsequence splitting,...

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Main Authors: Sikora Thomas, Flierl Sila Ekmekci, Frossard Pascal
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/2006/14694
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spelling doaj-aba0a74c15c44eb0b7ab6c1ea92d6b1d2020-11-24T21:43:25ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061014694Unbalanced Quantized Multiple State Video CodingSikora ThomasFlierl Sila EkmekciFrossard Pascal<p/> <p>Multiple state video coding (MSVC) is a multiple description scheme based on frame-wise splitting of the video sequence into two or more subsequences. Each subsequence is encoded separately to generate descriptions which can be decoded independently. Due to subsequence splitting, the prediction gain decreases. But since reconstruction capabilities improve, error resilience of the system increases. Our focus is on multiple state video coding with unbalanced quantized descriptions, which is particularly interesting for video streaming applications over heterogeneous networks where path diversity is used and transmission channels have varying transmission characteristics. The total bitrate is kept constant, while the subsequences are quantized with different stepsizes depending on the sequence as well as on the transmission conditions. Our goal is to figure out under which transmission conditions unbalanced bitstreams lead to good system performance in terms of the average reconstructed PSNR. Besides, we investigate the effects of intra-coding on the error resilience of the system and show that the sequence characteristics, and in particular the degree of motion in the sequence, have an important impact on the decoding performance. Finally, we propose a distortion model that is the core of an optimized rate allocation strategy, which is dependent on the network characteristics and status as well as on the video sequence characteristics.</p> http://dx.doi.org/10.1155/ASP/2006/14694
collection DOAJ
language English
format Article
sources DOAJ
author Sikora Thomas
Flierl Sila Ekmekci
Frossard Pascal
spellingShingle Sikora Thomas
Flierl Sila Ekmekci
Frossard Pascal
Unbalanced Quantized Multiple State Video Coding
EURASIP Journal on Advances in Signal Processing
author_facet Sikora Thomas
Flierl Sila Ekmekci
Frossard Pascal
author_sort Sikora Thomas
title Unbalanced Quantized Multiple State Video Coding
title_short Unbalanced Quantized Multiple State Video Coding
title_full Unbalanced Quantized Multiple State Video Coding
title_fullStr Unbalanced Quantized Multiple State Video Coding
title_full_unstemmed Unbalanced Quantized Multiple State Video Coding
title_sort unbalanced quantized multiple state 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 state video coding (MSVC) is a multiple description scheme based on frame-wise splitting of the video sequence into two or more subsequences. Each subsequence is encoded separately to generate descriptions which can be decoded independently. Due to subsequence splitting, the prediction gain decreases. But since reconstruction capabilities improve, error resilience of the system increases. Our focus is on multiple state video coding with unbalanced quantized descriptions, which is particularly interesting for video streaming applications over heterogeneous networks where path diversity is used and transmission channels have varying transmission characteristics. The total bitrate is kept constant, while the subsequences are quantized with different stepsizes depending on the sequence as well as on the transmission conditions. Our goal is to figure out under which transmission conditions unbalanced bitstreams lead to good system performance in terms of the average reconstructed PSNR. Besides, we investigate the effects of intra-coding on the error resilience of the system and show that the sequence characteristics, and in particular the degree of motion in the sequence, have an important impact on the decoding performance. Finally, we propose a distortion model that is the core of an optimized rate allocation strategy, which is dependent on the network characteristics and status as well as on the video sequence characteristics.</p>
url http://dx.doi.org/10.1155/ASP/2006/14694
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AT flierlsilaekmekci unbalancedquantizedmultiplestatevideocoding
AT frossardpascal unbalancedquantizedmultiplestatevideocoding
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