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Framework for the integrated video quality assessment

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Framework for the integrated video quality assessment. / Mu, Mu; Romaniak, Piotr; Mauthe, Andreas et al.
In: Multimedia Tools and Applications, Vol. 61, No. 3, 12.2012, p. 787-817.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Mu, M, Romaniak, P, Mauthe, A, Leszczuk, M, Janowski, L & Cerqueira, E 2012, 'Framework for the integrated video quality assessment', Multimedia Tools and Applications, vol. 61, no. 3, pp. 787-817. https://doi.org/10.1007/s11042-011-0946-3

APA

Mu, M., Romaniak, P., Mauthe, A., Leszczuk, M., Janowski, L., & Cerqueira, E. (2012). Framework for the integrated video quality assessment. Multimedia Tools and Applications, 61(3), 787-817. https://doi.org/10.1007/s11042-011-0946-3

Vancouver

Mu M, Romaniak P, Mauthe A, Leszczuk M, Janowski L, Cerqueira E. Framework for the integrated video quality assessment. Multimedia Tools and Applications. 2012 Dec;61(3):787-817. Epub 2011 Dec 28. doi: 10.1007/s11042-011-0946-3

Author

Mu, Mu ; Romaniak, Piotr ; Mauthe, Andreas et al. / Framework for the integrated video quality assessment. In: Multimedia Tools and Applications. 2012 ; Vol. 61, No. 3. pp. 787-817.

Bibtex

@article{6581117361a149e8bc825344075db650,
title = "Framework for the integrated video quality assessment",
abstract = "Through years of development Content Networks (CN) have become more sophisticated and more technically diverse. Modern CN are designed to be more adaptive to communication environment, devices and user requirements. However, one open issue is the still fluctuating quality of service provision. As a result user experience can be negatively affected. In order to maintain a satisfactory level of user experience it is crucial to develop a feasible solution to measure the extent to which video services meet users{\textquoteright} expectation. Assessing video quality with respect to users{\textquoteright} subjective opinions is a complex task. In this paper we address challenges of this task and design an integrated framework using a number of comprehensive functional modules. Our framework integrates objective quality assessment models of Artifacts Measurement (AM) and Quality of Delivery (QoD) approaches. Only the fittest models are activated by the framework considering requirements of individual evaluation tasks. We also introduce our recent work of realising key functional modules of the framework. Joint subjective experiments between two institutes have also been carried out for the purpose of model implementation and evaluation. Results from experiments verify the concept of an integrated framework and show the effectiveness of its key modules in estimating the quality level of video services.",
keywords = "Video quality metrics , Quality of experience , Content distribution network , Mean opinion score, Perceptual quality",
author = "Mu Mu and Piotr Romaniak and Andreas Mauthe and Mikolaj Leszczuk and Lucjan Janowski and Eduardo Cerqueira",
year = "2012",
month = dec,
doi = "10.1007/s11042-011-0946-3",
language = "English",
volume = "61",
pages = "787--817",
journal = "Multimedia Tools and Applications",
issn = "1380-7501",
publisher = "Springer Netherlands",
number = "3",

}

RIS

TY - JOUR

T1 - Framework for the integrated video quality assessment

AU - Mu, Mu

AU - Romaniak, Piotr

AU - Mauthe, Andreas

AU - Leszczuk, Mikolaj

AU - Janowski, Lucjan

AU - Cerqueira, Eduardo

PY - 2012/12

Y1 - 2012/12

N2 - Through years of development Content Networks (CN) have become more sophisticated and more technically diverse. Modern CN are designed to be more adaptive to communication environment, devices and user requirements. However, one open issue is the still fluctuating quality of service provision. As a result user experience can be negatively affected. In order to maintain a satisfactory level of user experience it is crucial to develop a feasible solution to measure the extent to which video services meet users’ expectation. Assessing video quality with respect to users’ subjective opinions is a complex task. In this paper we address challenges of this task and design an integrated framework using a number of comprehensive functional modules. Our framework integrates objective quality assessment models of Artifacts Measurement (AM) and Quality of Delivery (QoD) approaches. Only the fittest models are activated by the framework considering requirements of individual evaluation tasks. We also introduce our recent work of realising key functional modules of the framework. Joint subjective experiments between two institutes have also been carried out for the purpose of model implementation and evaluation. Results from experiments verify the concept of an integrated framework and show the effectiveness of its key modules in estimating the quality level of video services.

AB - Through years of development Content Networks (CN) have become more sophisticated and more technically diverse. Modern CN are designed to be more adaptive to communication environment, devices and user requirements. However, one open issue is the still fluctuating quality of service provision. As a result user experience can be negatively affected. In order to maintain a satisfactory level of user experience it is crucial to develop a feasible solution to measure the extent to which video services meet users’ expectation. Assessing video quality with respect to users’ subjective opinions is a complex task. In this paper we address challenges of this task and design an integrated framework using a number of comprehensive functional modules. Our framework integrates objective quality assessment models of Artifacts Measurement (AM) and Quality of Delivery (QoD) approaches. Only the fittest models are activated by the framework considering requirements of individual evaluation tasks. We also introduce our recent work of realising key functional modules of the framework. Joint subjective experiments between two institutes have also been carried out for the purpose of model implementation and evaluation. Results from experiments verify the concept of an integrated framework and show the effectiveness of its key modules in estimating the quality level of video services.

KW - Video quality metrics

KW - Quality of experience

KW - Content distribution network

KW - Mean opinion score

KW - Perceptual quality

U2 - 10.1007/s11042-011-0946-3

DO - 10.1007/s11042-011-0946-3

M3 - Journal article

VL - 61

SP - 787

EP - 817

JO - Multimedia Tools and Applications

JF - Multimedia Tools and Applications

SN - 1380-7501

IS - 3

ER -