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dc.contributor.authorZhang, R
dc.contributor.authorZhang, X
dc.contributor.authorGuo, P
dc.contributor.authorFan, Q
dc.contributor.authorYin, H
dc.contributor.authorMa, Z
dc.date.accessioned2021-12-06T11:22:37Z
dc.date.issued2021-12-22
dc.date.updated2021-12-06T10:36:55Z
dc.description.abstractWith the rising popularity of video streaming services, Quality of Experience (QoE) acts as the crucial role in improving user’s experience. Distinguished from Quality of Service (QoS), which mainly weigh the video streaming quality with network transmission performance, QoE focuses on the subjective and user-oriented assessment when users views the videos online. It is a vital issue for online streaming to ensure a user-satisfied transmission under dynamic network. This highlights the need for an accurate and feasible QoE model to balance the user experience and available transmission bandwidth. This paper summaries and analyzes existing explorations on QoE models for online video streaming, especially with the advancement on emerged learning-based models, to promote the development of this research field.en_GB
dc.description.sponsorshipNational Key Research and Development Program of Chinaen_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC)en_GB
dc.description.sponsorshipNatural Science Foundation of Jiangsuen_GB
dc.description.sponsorshipLeading Technology of Jiangsu Basic Research Planen_GB
dc.description.sponsorshipChongqing Key Laboratory of Digital Cinema Art Theory and Technologyen_GB
dc.identifier.citation20th International Conference on Ubiquitous Computing and Communications (IUCC-2021), 20 - 22 December 2021, London, UK. Virtual.en_GB
dc.identifier.grantnumber2018YFB2100804en_GB
dc.identifier.grantnumber898588en_GB
dc.identifier.grantnumber61902178en_GB
dc.identifier.grantnumber62102053en_GB
dc.identifier.grantnumber92067206en_GB
dc.identifier.grantnumber61972222en_GB
dc.identifier.grantnumberBK20190295en_GB
dc.identifier.grantnumberBK20192003en_GB
dc.identifier.grantnumber2021KF01en_GB
dc.identifier.urihttp://hdl.handle.net/10871/128035
dc.language.isoenen_GB
dc.publisherInternational Conference on Ubiquitous Computing and Communications (IUCC-2021)en_GB
dc.relation.urlhttps://hpcn.exeter.ac.uk/iucc2021en_GB
dc.rights.embargoreasonUnder embargo until close of conferenceen_GB
dc.rights© International Conference on Ubiquitous Computing and Communications (IUCC)en_GB
dc.titleQoE Models for Online Video Streamingen_GB
dc.typeConference paperen_GB
dc.date.available2021-12-06T11:22:37Z
exeter.locationLondon, UK
dc.descriptionThis is the author accepted manuscript.en_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2021-11-11
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2021-12-22
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2021-12-06T10:36:57Z
refterms.versionFCDAM
refterms.dateFOA2021-12-23T00:00:00Z
refterms.panelBen_GB
pubs.name-of-conferencethe 20th International Conference on Ubiquitous Computing and Communications


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