Publication:
Objective and subjective QoE evaluation for adaptive point cloud streaming

dc.contributor.authorVan Der Hooft, J.
dc.contributor.authorVega, M. T.
dc.contributor.authorTimmerer, C.
dc.contributor.authorBeğen, Ali Cengiz
dc.contributor.authorDe Turck, F.
dc.contributor.authorSchatz, R.
dc.contributor.departmentComputer Science
dc.contributor.ozuauthorBEĞEN, Ali Cengiz
dc.date.accessioned2021-06-22T10:50:43Z
dc.date.available2021-06-22T10:50:43Z
dc.date.issued2020-05
dc.description.abstractVolumetric media has the potential to provide the six degrees of freedom (6DoF) required by truly immersive media. However, achieving 6DoF requires ultra-high bandwidth transmissions, which real-world wide area networks cannot provide today. Therefore, recent efforts have started to target efficient delivery of volumetric media, using a combination of compression and adaptive streaming techniques. It remains, however, unclear how the effects of such techniques on the user perceived quality can be accurately evaluated. In this paper, we present the results of an extensive objective and subjective quality of experience (QoE) evaluation of volumetric 6DoF streaming. We use PCC-DASH, a standards-compliant means for HTTP adaptive streaming of scenes comprising multiple dynamic point cloud objects. By means of a thorough analysis, we investigate the perceived quality impact of the available bandwidth, rate adaptation algorithm, viewport prediction strategy and user's motion within the scene. We determine which of these aspects has more impact on the user's QoE, and to what extent subjective and objective assessments are aligned.en_US
dc.description.sponsorshipUniversiteit Gent
dc.identifier.doi10.1109/QoMEX48832.2020.9123081en_US
dc.identifier.isbn978-172815965-2
dc.identifier.scopus2-s2.0-85087668283
dc.identifier.urihttp://hdl.handle.net/10679/7445
dc.identifier.urihttps://doi.org/10.1109/QoMEX48832.2020.9123081
dc.identifier.wos000619223500011
dc.language.isoengen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)
dc.relation.publicationcategoryInternational
dc.rightsrestrictedAccess
dc.subject.keywordsVolumetric mediaen_US
dc.subject.keywordsHTTP adaptive streamingen_US
dc.subject.keywords6DoFen_US
dc.subject.keywordsMPEG V-PCCen_US
dc.subject.keywordsQoE assessmenten_US
dc.subject.keywordsObjective metricsen_US
dc.titleObjective and subjective QoE evaluation for adaptive point cloud streamingen_US
dc.typeconferenceObjecten_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication85662e71-2a61-492a-b407-df4d38ab90d7
relation.isOrgUnitOfPublication.latestForDiscovery85662e71-2a61-492a-b407-df4d38ab90d7

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