Publication:
Game theory based bitrate adaptation for Dash.Js reference player

dc.contributor.authorBentaleb, A.
dc.contributor.authorBeğen, Ali Cengiz
dc.contributor.authorZimmermann, R.
dc.contributor.departmentComputer Science
dc.contributor.ozuauthorBEĞEN, Ali Cengiz
dc.date.accessioned2019-02-07T11:40:05Z
dc.date.available2019-02-07T11:40:05Z
dc.date.issued2018-11-28
dc.description.abstractMost existing DASH adaptive bitrate (ABR) schemes are designed to behave in their own self-interest and do not perform consistently in all network environments. In this work, we provide a practical implementation, materials and demonstration of a game theoretical ABR scheme, termed GTA [1], in the dash.js reference player. The GTA approach optimizes the viewer experience across multiple players without requiring explicit communication, and maintains a high playback bitrate while reducing startup delay, and minimizing quality switches and stalls.en_US
dc.description.sponsorshipNational Natural Science Foundation of China ; NUS (Suzhou) Research Institute ; UAE University
dc.identifier.doi10.1109/ICMEW.2018.8551495en_US
dc.identifier.isbn978-153864195-8
dc.identifier.scopus2-s2.0-85059976496
dc.identifier.urihttp://hdl.handle.net/10679/6157
dc.identifier.urihttps://doi.org/10.1109/ICMEW.2018.8551495
dc.identifier.wos000465249700006
dc.language.isoengen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
dc.relation.publicationcategoryInternational
dc.rightsrestrictedAccess
dc.subject.keywordsHASen_US
dc.subject.keywordsDASHen_US
dc.subject.keywordsQoEen_US
dc.subject.keywordsGame theoryen_US
dc.subject.keywordsABRen_US
dc.titleGame theory based bitrate adaptation for Dash.Js reference playeren_US
dc.typeconferenceObjecten_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication85662e71-2a61-492a-b407-df4d38ab90d7
relation.isOrgUnitOfPublication.latestForDiscovery85662e71-2a61-492a-b407-df4d38ab90d7

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