Publication:
Quality of experience and quality of service metrics for 3D content

dc.contributor.coauthorBarreda-Ángeles, Miguel
dc.contributor.coauthorBattisti, Federica
dc.contributor.coauthorBoato, Giulia
dc.contributor.coauthorCarli, Marco
dc.contributor.coauthorDumic, Emil
dc.contributor.coauthorGelautz, Margrit
dc.contributor.coauthorHewage, Chaminda
dc.contributor.coauthorKukolj, Dragan
dc.contributor.coauthorLe-Callet, Patrick
dc.contributor.coauthorLiotta, Antonio
dc.contributor.coauthorPasquini, Cecilia
dc.contributor.coauthorPereda-Baños, Alexandre
dc.contributor.coauthorPolitis, Christos
dc.contributor.coauthorSandic, Dragana
dc.contributor.coauthorTorres-Vega, María
dc.contributor.coauthorZlokolica, Vladimir
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T22:50:01Z
dc.date.issued2019
dc.description.abstractTraditionally, the quality of a multimedia system was mainly assessed through the evaluation of its Quality of Service (QoS) that is by evaluating system parameters such as bandwidth, latency, jitter, throughput, transmission delay, availability, etc. However, these metrics often failed to capture the actual end-user perceived quality, which has prompted the development of the construct of Quality of Experience (QoE), widely understood as an interaction of the technical features of multimedia systems with perceptual, and cognitive/emotional factors involved in the interpretation of those features by users. This chapter addresses the open issues in the field of QoS and QoE assessments. First, the perceptual characteristics of the multiview content are analyzed, and then a survey on the existing approaches for QoS and QoE estimation is performed. The analysis is then focused on the subjective aspects of QoE assessment, by describing the standard methodologies currently used and new trends based on human factors research. Finally, the chapter offers a few guidelines for future research directions in the field.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.1007/978-3-319-77842-6_10
dc.identifier.eissn1860-4870
dc.identifier.embargoN/A
dc.identifier.endpage297
dc.identifier.isbn9783319778419
dc.identifier.isbn9783030085520
dc.identifier.isbn9783319778426
dc.identifier.issn1860-4862
dc.identifier.scopus2-s2.0-85063156400
dc.identifier.startpage267
dc.identifier.urihttps://doi.org/10.1007/978-3-319-77842-6_10
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6585
dc.keywordsPeak signal-to-noise ratio (PSNR)
dc.keywordsDepth image-based rendering (DIBR)
dc.keywordsStereoscopic content
dc.keywordsDepth map
dc.keywordsSynthesis artifacts
dc.language.isoeng
dc.publisherSpringer
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartof3D Visual Content Creation, Coding and Delivery
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectQuality of experience for 3D content
dc.subjectQuality assessment of 3D video
dc.subjectQoE and QoS metrics for multimedia
dc.titleQuality of experience and quality of service metrics for 3D content
dc.typeBook Chapter
dspace.entity.typePublication
local.contributor.kuauthorTekalp, Ahmet Murat
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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