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.
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Notes
In the presented research the scale has 11 values but some different scales are possible, too.
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Acknowledgements
Application of Piotr Romaniak’s, Mikolaj Leszczuk’s and Lucjan Janowski’s research leading to these results has received funding from the European Community’s Seventh Framework Program (FP7/2007-2013) under grant agreement n°218086 (INDECT). Mu Mu’s work is also supported by Agilent Laboratories UK, European Commission within the FP7 Project: P2P-Next and Framework for Innovation and Research in MediaCityUK (FIRM). Eduardo Cerqueira was supported by The National Council for Scientific and Technological Development (CNPq—Brazil) and Fundacao de Amparo a Pesquisa do Estado do Para (FAPESPA). The authors thank Piotr Borkowski from AGH University of Science and Technology, Roswitha Gostner from Lancaster University and Francisco Garcia from Agilent Laboratories for their input.
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Mu, M., Romaniak, P., Mauthe, A. et al. Framework for the integrated video quality assessment. Multimed Tools Appl 61, 787–817 (2012). https://doi.org/10.1007/s11042-011-0946-3
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DOI: https://doi.org/10.1007/s11042-011-0946-3