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dc.contributor.authorFrnda, Jaroslav
dc.contributor.authorNedoma, Jan
dc.contributor.authorVaňuš, Jan
dc.contributor.authorMartinek, Radek
dc.date.accessioned2019-07-09T07:36:04Z
dc.date.available2019-07-09T07:36:04Z
dc.date.issued2019
dc.identifier.citationElectronics. 2019, vol. 8, issue 5, art. no. 585.cs
dc.identifier.issn2079-9292
dc.identifier.urihttp://hdl.handle.net/10084/137644
dc.description.abstractThe 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.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesElectronicscs
dc.relation.urihttps://doi.org/10.3390/electronics8050585cs
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectIPTVcs
dc.subjectneural networkcs
dc.subjectQoEcs
dc.subjectQoScs
dc.titleA hybrid QoS-QoE estimation system for IPTV servicecs
dc.typearticlecs
dc.identifier.doi10.3390/electronics8050585
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume8cs
dc.description.issue5cs
dc.description.firstpageart. no. 585cs
dc.identifier.wos000470999900116


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.