<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper deals with an analysis of Kohonen map usage possibility for real-time evaluation of end-user video quality perception. The Quality of Service framework (QoS) describes how the network impairments (network utilization or packet loss) influence the picture quality, but it does not reflect precisely on customer subjective perceived quality of received video stream. There are several objective video assessment metrics based on mathematical models trying to simulate human visual system but each of them has its own evaluation scale. This causes a serious problem for service providers to identify a critical point when intervention into the network behaviour is needed. On the other hand, subjective tests (Quality of Experience concept) are time-consuming and costly and of course, cannot be performed in real-time. Therefore, we proposed a mapping function able to predict subjective end-user quality perception based on the situation in a network, video stream features and results obtained from the objective video assessment method.</p></abstract>

This paper deals with an analysis of Kohonen map usage possibility for real-time evaluation of end-user video quality perception. The Quality of Service framework (QoS) describes how the network impairments (network utilization or packet loss) influence the picture quality, but it does not reflect precisely on customer subjective perceived quality of received video stream. There are several objective video assessment metrics based on mathematical models trying to simulate human visual system but each of them has its own evaluation scale. This causes a serious problem for service providers to identify a critical point when intervention into the network behaviour is needed. On the other hand, subjective tests (Quality of Experience concept) are time-consuming and costly and of course, cannot be performed in real-time. Therefore, we proposed a mapping function able to predict subjective end-user quality perception based on the situation in a network, video stream features and results obtained from the objective video assessment method.

QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study

Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications

Department of Computing, Mathematics, and Physics

Western Norway University of Applied Sciences

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This paper deals with an analysis of Kohonen map usage possibility for real-time evaluation of end-user video quality perception. The Quality of Service...

QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study

Publié en ligne: 25 juin 2020

Pages: 181 - 190

DOI: https://doi.org/10.2478/ttj-2020-0014

Mots clés
IPTV, Kohonen map, Mapping function, QoE, QoS

© 2020 Jaroslav Frnda et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study

Publié en ligne: 25 juin 2020

Pages: 181 - 190

DOI: https://doi.org/10.2478/ttj-2020-0014

Mots clésIPTV, Kohonen map, Mapping function, QoE, QoS

© 2020 Jaroslav Frnda et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
IPTV, Kohonen map, Mapping function, QoE, QoS