QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study
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 p...
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Format: | Article |
Language: | English |
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Sciendo
2020-06-01
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Series: | Transport and Telecommunication |
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Online Access: | https://doi.org/10.2478/ttj-2020-0014 |
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author | Frnda Jaroslav Durica Marek Savrasovs Mihail Fournier-Viger Philippe Lin Jerry Chun-Wei |
author_facet | Frnda Jaroslav Durica Marek Savrasovs Mihail Fournier-Viger Philippe Lin Jerry Chun-Wei |
author_sort | Frnda Jaroslav |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-13T16:19:32Z |
format | Article |
id | doaj.art-f4a554b83968408d87311e0e36eb2fa1 |
institution | Directory Open Access Journal |
issn | 1407-6179 |
language | English |
last_indexed | 2024-04-13T16:19:32Z |
publishDate | 2020-06-01 |
publisher | Sciendo |
record_format | Article |
series | Transport and Telecommunication |
spelling | doaj.art-f4a554b83968408d87311e0e36eb2fa12022-12-22T02:39:59ZengSciendoTransport and Telecommunication1407-61792020-06-0121318119010.2478/ttj-2020-0014ttj-2020-0014QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot StudyFrnda Jaroslav0Durica Marek1Savrasovs Mihail2Fournier-Viger Philippe3Lin Jerry Chun-Wei4Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26 Zilina, SlovakiaDepartment of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26 Zilina, SlovakiaTransport and Telecommunication Institute, Lomonosova 1, Riga, LV-1019, LatviaSchool of Natural Sciences and Humanities, Harbin Institute of Technology,Shenzhen, 518055, ChinaDepartment of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences, Bergen 5063, NorwayThis 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.https://doi.org/10.2478/ttj-2020-0014iptvkohonen mapmapping functionqoeqos |
spellingShingle | Frnda Jaroslav Durica Marek Savrasovs Mihail Fournier-Viger Philippe Lin Jerry Chun-Wei QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study Transport and Telecommunication iptv kohonen map mapping function qoe qos |
title | QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study |
title_full | QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study |
title_fullStr | QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study |
title_full_unstemmed | QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study |
title_short | QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study |
title_sort | qos to qoe mapping function for iptv quality assessement based on kohonen map a pilot study |
topic | iptv kohonen map mapping function qoe qos |
url | https://doi.org/10.2478/ttj-2020-0014 |
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