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dc.contributor.authorLaghari, A
dc.contributor.authorHe, H
dc.contributor.authorKhan, Asiya
dc.contributor.authorLaghari, R
dc.contributor.authorYin, S
dc.contributor.authorWang, J
dc.date.accessioned2022-11-04T12:01:48Z
dc.date.available2022-11-04T12:01:48Z
dc.date.issued2022-07
dc.identifier.issn1820-0214
dc.identifier.issn2406-1018
dc.identifier.urihttp://hdl.handle.net/10026.1/19846
dc.description.abstract

<jats:p>This paper presents a novel web-based crowdsourcing platform for the assessment of the subjective and objective quality of experience (QoE) of the video service in the cloud-server environment. The user has the option to enter subjective QoE data for video service by filling out a web questionnaire. The objective QoE data of the cloud-server, network condition, and the user device is automatically captured by the crowdsourcing platform. Our proposed system collects both objective and subjective QoE simultaneously in real-time. The paper presents the key technologies used in the development of the platform and describes the functional requirements and design ideas of the system in detail. The system collects real-time comprehensive data to enhance the quality of the user experience to provide a valuable reference. The system is tested in a real-time environment and the test results are given in terms of the system performance. The crowdsourcing platform has new features of real-time network monitoring, the client device, and cloud monitoring, which currently has not been provided by existing web platforms and crowdsourcing frameworks. The results show that 1MB buffer is filled 100% very soon after starting watching videos from the crowdsourcing platform.</jats:p>

dc.format.extent1305-1328
dc.languageen
dc.language.isoen
dc.publisherComSIS Consortium
dc.subjectCrowdsourcing platform
dc.subjectVideo service
dc.subjectQuality of Experience (QoE)
dc.titleCrowdsourcing platform for QoE evaluation for cloud multimedia services
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000877664300015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue3
plymouth.volume19
plymouth.publication-statusPublished
plymouth.journalComputer Science and Information Systems
dc.identifier.doi10.2298/csis220322038l
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2022-09-11
dc.rights.embargodate2022-11-5
dc.identifier.eissn2406-1018
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.2298/csis220322038l
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


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