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Assessment of QoE for video and audio in WebRTC applications using full-reference models

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorGarcía Gutiérrez, Boni
dc.contributor.authorGortázar, Francisco
dc.contributor.authorGallego, Micael
dc.contributor.authorHines, Andrew
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.date.accessioned2021-04-14T09:22:55Z
dc.date.available2021-04-14T09:22:55Z
dc.date.issued2020-03-10
dc.description.abstractWebRTC is a set of standard technologies that allows exchanging video and audio in real time on the Web. As with other media-related applications, the user-perceived audiovisual quality can be estimated using Quality of Experience (QoE) measurements. This paper analyses the behavior of different objective Full-Reference (FR) models for video and audio in WebRTC applications. FR models calculate the video and audio quality by comparing some original media reference with the degraded signal. To compute these models, we have created an open-source benchmark in which different types of reference media inputs are sent browser to browser while simulating different kinds of network conditions in terms of packet loss and jitter. Our benchmark provides recording capabilities of the impairment WebRTC streams. Then, we use different existing FR metrics for video (VMAF, VIFp, SSIM, MS-SSIM, PSNR, PSNR-HVS, and PSNR-HVS-M) and audio (PESQ, ViSQOL, and POLQA) recordings together with their references. Moreover, we use the same recordings to carry out a subjective analysis in which real users rate the video and audio quality using a Mean Opinion Score (MOS). Finally, we calculate the correlations between the objective and subjective results to find the objective models that better correspond with the subjective outcome, which is considered the ground truth QoE. We find that some of the studied objective models, such as VMAF, VIFp, and POLQA, show a strong correlation with the subjective results in packet loss scenarios.en
dc.description.sponsorshipThis work has been supported by the European Commission under project ElasTest (H2020-ICT-10-2016, GA-731535); by the Regional Government of Madrid (CM) under project EDGEDATA-CM (P2018/TCS-4499) cofunded by FSE and FEDER; by the Spanish Government under projects LERNIM (RTC-2016-4674-7) and BugBirth (RTI2018-101963-B-I00) cofunded by the Ministry of Economy and Competitiveness, FEDER, and AEI; and by Science Foundation Ireland (SFI) cofunded under the European Regional Development Fund under grant number 12/RC/2289_P2 and grant number SFI/12/RC/2077.en
dc.format.extent23
dc.identifier.bibliographicCitationGarcía B., Gortázar, F., Gallego, M. & Hines A. (2020). Assessment of QoE for video and audio in WebRTC applications using full-reference models. Electronics 2020, 9(3), 462.en
dc.identifier.doihttps://doi.org/10.3390/electronics9030462
dc.identifier.issn2079-9292
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue462
dc.identifier.publicationlastpage23
dc.identifier.publicationtitleElectronicsen
dc.identifier.publicationvolume9(3)
dc.identifier.urihttps://hdl.handle.net/10016/32355
dc.identifier.uxxiAR/0000025590
dc.language.isoeng
dc.publisherMDPI
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/731535/Elas Testes
dc.relation.projectIDComunidad de Madrid. P2018/TCS-4499es
dc.relation.projectIDGobierno de España. RTC-2016-4674-7es
dc.relation.projectIDGobierno de España. RTI2018-101963-B-I00es
dc.rights© 2020 by the authors.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherAudio qualityen
dc.subject.otherFull-referenceen
dc.subject.otherQoEen
dc.subject.otherVideo qualityen
dc.subject.otherWebRTCen
dc.titleAssessment of QoE for video and audio in WebRTC applications using full-reference modelsen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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