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dc.contributor.authorTimmerer, C.
dc.contributor.authorZabrovskiy, A.
dc.contributor.authorBeğen, Ali Cengiz
dc.date.accessioned2020-04-30T10:57:43Z
dc.date.available2020-04-30T10:57:43Z
dc.date.issued2018-06-26
dc.identifier.isbn978-1-5386-1857-8
dc.identifier.urihttp://hdl.handle.net/10679/6546
dc.identifier.urihttps://ieeexplore.ieee.org/document/8397036
dc.description.abstractStreaming audio and video content currently accounts for the majority of the internet traffic and is typically deployed over the top of the existing infrastructure. We are facing the challenge of a plethora of media players and adaptation algorithms showing different behavior but lack a common framework for both objective and subjective evaluation of such systems. This paper aims to close this gap by (i) proposing such a framework, (ii) describing its architecture, (iii) providing an example evaluation, (iv) and discussing open issues.en_US
dc.description.sponsorshipAustrian Research Promotion Agency (FFG) under the Next Generation Video Streaming project "PROMETHEUS
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)
dc.rightsrestrictedAccess
dc.titleAutomated objective and subjective evaluation of HTTP adaptive streaming systemsen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-0835-3017 & YÖK ID 217660) Beğen, Ali
dc.contributor.ozuauthorBeğen, Ali Cengiz
dc.identifier.startpage362en_US
dc.identifier.endpage367en_US
dc.identifier.wosWOS:000467088100072
dc.identifier.doi10.1109/MIPR.2018.00080en_US
dc.subject.keywordsHTTP adaptive streamingen_US
dc.subject.keywordsObjective evaluationen_US
dc.subject.keywordsSubjective evaluationen_US
dc.subject.keywordsMPEG DASHen_US
dc.identifier.scopusSCOPUS:2-s2.0-85050101462
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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