Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/25474
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dc.contributor.authorAlmeida, J.-
dc.contributor.authorMarinheiro, R.-
dc.contributor.authorSilva, J.-
dc.contributor.authorMoura, J.-
dc.contributor.editorDeshmukh Ratnadeep and Vinu V Das-
dc.date.accessioned2022-05-19T16:46:11Z-
dc.date.available2022-05-19T16:46:11Z-
dc.date.issued2013-
dc.identifier.isbn2214-1464-
dc.identifier.urihttp://hdl.handle.net/10071/25474-
dc.description.abstractSVC streaming studies are mostly constrained tosimulations, but prototypes also exist. However, for the latter,modification to streaming servers are required to implementextractors, with obvious modifications in the client side toimplement aggregators.This paper contributes with a new proposal for a practicaland simple SVC streaming solution that can be used with of-the-shelf AVC streaming servers and SVC clients, withoutresorting to aggregators and extractors. The focus is onmodifications to the hint tool, creating a standard MP4container for SVC.A complete evaluation framework is also proposed, withhardware on the loop, for performing objective and subjectiveQoE tests, with the support of SVC.With this framework, several scenarios have been tested,by emulating network conditions. User subjective MOS resultshave been obtained and then compared with objective PSNRresults converted to MOS. These tests demonstrate theframework validity, opening perspectives for future workeng
dc.language.isoeng-
dc.publisherACEE and Elsevier-
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEA-TEL%2F120666%2F2010/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FEEI%2FLA0008%2F2011/PT-
dc.rightsopenAccess-
dc.titleA framework for QoE measurements of real­time scalable video coding streaming using conventional servers and clientseng
dc.typeconferenceObject-
dc.event.typeConferênciapt
dc.event.locationBangaloreeng
dc.event.date2013-
dc.pagination85 - 90-
dc.peerreviewedyes-
dc.journalThird International Conference on Advances in Information Technology and Mobile Communication - AIM-
dc.volume2-
degois.publication.firstPage85-
degois.publication.lastPage90-
degois.publication.locationBangaloreeng
degois.publication.titleA framework for QoE measurements of real­time scalable video coding streaming using conventional servers and clientseng
dc.date.updated2022-05-19T17:44:01Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi03.LSCS.2013.2.94.-
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-48482-
Appears in Collections:IT-CRI - Comunicações a conferências internacionais

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