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Framework for the integrated video quality assessment

Mu, Mu and Romaniak, Piotr and Mauthe, Andreas and Leszczuk, Mikolaj and Janowski, Lucjan and Cerqueira, Eduardo (2012) Framework for the integrated video quality assessment. Multimedia Tools and Applications, 61 (3). pp. 787-817. ISSN 1380-7501

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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’ 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.

Item Type: Article
Journal or Publication Title: Multimedia Tools and Applications
Uncontrolled Keywords: Video quality metrics ; Quality of experience ; Content distribution network ; Mean opinion score ; Perceptual quality
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 53471
Deposited By: ep_importer_pure
Deposited On: 17 Apr 2012 09:33
Refereed?: Yes
Published?: Published
Last Modified: 18 Sep 2014 17:17
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/53471

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