Large-Scale Research On Quality Of Experience (Qoe) Algorithms

Large-Scale Research On Quality Of Experience (Qoe) Algorithms

The large variety of video data sources means variability not only in terms ofincluded content, but also in terms of quality. Therefore, quality assessment pro-vides an additional dimension. The paper describes a comprehensive evaluationexperiment on perceived video quality. Consequently, in summary...

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Bibliographic Details
Main Authors: Mikolaj Leszczuk, Blazej Szczerba, Andrzej Glowacz, Jan Derkacz, Andrzej Dziech, Piotr Romaniak
Format: Article
Language:English
Published: AGH University of Science and Technology Press 2013-01-01
Series:Computer Science
Subjects:
Video
compression
QoE
MOS
H.264
Online Access:http://journals.agh.edu.pl/csci/article/download/108/56
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spelling doaj-8388a4f6762547f5aad1b5c59c9a85d42020-11-24T22:31:07ZengAGH University of Science and Technology PressComputer Science1508-28062013-01-011416310.7494/csci.2013.14.1.63Large-Scale Research On Quality Of Experience (Qoe) AlgorithmsMikolaj LeszczukBlazej SzczerbaAndrzej GlowaczJan DerkaczAndrzej DziechPiotr RomaniakThe large variety of video data sources means variability not only in terms ofincluded content, but also in terms of quality. Therefore, quality assessment pro-vides an additional dimension. The paper describes a comprehensive evaluationexperiment on perceived video quality. Consequently, in summary, 19 200 000video frames will be processed. Given the scale of the experiment, it is setup on a computer cluster in order to accelerate the calculations significantly.This work on Quality of Experience (QoE) is synchronized with that conductedby the Video Quality Experts Group (VQEG), in particular the Joint EffortsGroup (JEG) – Hybrid group project.http://journals.agh.edu.pl/csci/article/download/108/56VideocompressionQoEMOSH.264
collection DOAJ
language English
format Article
sources DOAJ
author Mikolaj Leszczuk
Blazej Szczerba
Andrzej Glowacz
Jan Derkacz
Andrzej Dziech
Piotr Romaniak
spellingShingle Mikolaj Leszczuk
Blazej Szczerba
Andrzej Glowacz
Jan Derkacz
Andrzej Dziech
Piotr Romaniak
Large-Scale Research On Quality Of Experience (Qoe) Algorithms
Computer Science
Video
compression
QoE
MOS
H.264
author_facet Mikolaj Leszczuk
Blazej Szczerba
Andrzej Glowacz
Jan Derkacz
Andrzej Dziech
Piotr Romaniak
author_sort Mikolaj Leszczuk
title Large-Scale Research On Quality Of Experience (Qoe) Algorithms
title_short Large-Scale Research On Quality Of Experience (Qoe) Algorithms
title_full Large-Scale Research On Quality Of Experience (Qoe) Algorithms
title_fullStr Large-Scale Research On Quality Of Experience (Qoe) Algorithms
title_full_unstemmed Large-Scale Research On Quality Of Experience (Qoe) Algorithms
title_sort large-scale research on quality of experience (qoe) algorithms
publisher AGH University of Science and Technology Press
series Computer Science
issn 1508-2806
publishDate 2013-01-01
description The large variety of video data sources means variability not only in terms ofincluded content, but also in terms of quality. Therefore, quality assessment pro-vides an additional dimension. The paper describes a comprehensive evaluationexperiment on perceived video quality. Consequently, in summary, 19 200 000video frames will be processed. Given the scale of the experiment, it is setup on a computer cluster in order to accelerate the calculations significantly.This work on Quality of Experience (QoE) is synchronized with that conductedby the Video Quality Experts Group (VQEG), in particular the Joint EffortsGroup (JEG) – Hybrid group project.
topic Video
compression
QoE
MOS
H.264
url http://journals.agh.edu.pl/csci/article/download/108/56
work_keys_str_mv AT mikolajleszczuk largescaleresearchonqualityofexperienceqoealgorithms
AT blazejszczerba largescaleresearchonqualityofexperienceqoealgorithms
AT andrzejglowacz largescaleresearchonqualityofexperienceqoealgorithms
AT janderkacz largescaleresearchonqualityofexperienceqoealgorithms
AT andrzejdziech largescaleresearchonqualityofexperienceqoealgorithms
AT piotrromaniak largescaleresearchonqualityofexperienceqoealgorithms
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