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A Hybrid QoS-QoE Estimation System for IPTV Service

Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, 01026 Zilina, Slovakia
Department of Telecommunications, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 70833 Ostrava-Poruba, Czech Republic
Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 70833 Ostrava-Poruba, Czech Republic
Authors to whom correspondence should be addressed.
Electronics 2019, 8(5), 585;
Received: 24 April 2019 / Revised: 14 May 2019 / Accepted: 22 May 2019 / Published: 27 May 2019
(This article belongs to the Section Computer Science & Engineering)
The internet protocol television service (IPTV) has become a key product for internet service providers (ISP), offering several benefits to both ISP and end-users. Because packet networks based on internet protocol have not been prepared for time-sensitive services, such as voice or video, packet networks have had to adopt several mechanisms to secure minimal transmission standards in the form of data stream prioritization. There are two commonly used approaches for video quality assessment. The first approach needs an original source for comparison (full-reference objective metrics), and the second one requires observers for subjective evaluation of video quality. Both approaches are impractical in real-time transmission because it is difficult to transform an objective score into a subjective quality perception, and on the other hand, subjective tests are not able to be performed immediately. Since many countries worldwide put IPTV on the same level as other broadcasting systems (e.g., terrestrial, cable, or satellite), IPTV services are subject to regulation by the national regulation authority. This results in the need to prepare service qualitative criteria and monitoring tools capable of measuring end-user satisfaction levels. Our proposed model combines the principles of both assessment approaches, which results in an effective monitoring solution. Therefore, the main contribution of the created system is to offer a monitoring tool able to analyze the features extracted from the video sequence and transmission system and promptly translate their impact into a subjective point of view. View Full-Text
Keywords: IPTV; neural network; QoE; QoS IPTV; neural network; QoE; QoS
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Frnda, J.; Nedoma, J.; Vanus, J.; Martinek, R. A Hybrid QoS-QoE Estimation System for IPTV Service. Electronics 2019, 8, 585.

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