Datasets for AVC (H.264) and HEVC (H.265) evaluation of dynamic adaptive streaming over HTTP (DASH)

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dc.contributor.authorQuinlan, Jason J.
dc.contributor.authorZahran, Ahmed H.
dc.contributor.authorSreenan, Cormac J.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2017-09-21T09:27:35Z
dc.date.available2017-09-21T09:27:35Z
dc.date.issued2016-05-10
dc.description.abstractIn this paper we present datasets for both trace-based simulation and real-time testbed evaluation of Dynamic Adaptive Streaming over HTTP (DASH). Our trace-based simulation dataset provides a means of evaluation in frameworks such as NS-2 and NS-3, while our testbed evaluation dataset offers a means of analysing the delivery of content over a physical network and associated adaptation mechanisms at the client. Our datasets are available in both H.264 and H.265 with encoding rates comparative to the representations and resolutions of content distribution providers such as Netflix, Hulu and YouTube. The goal of our dataset is to provide researchers with a sufficiently large dataset, in both number, and duration, of clips which provides a comparison between both encoding schemes. We provide options for evaluating not only different content and genres, but also the underlying encoding metrics, such as transmission cost, segment distribution (the range of the oscillation of the segment sizes) and associated delivery issues such as jitter and re-buffering. Finally, we also offer our datasets in a header-only compressed format, which allows researchers to download the entire dataset and uncompress locally, thus ensuring that our datasets are accessible both online via remote and local servers.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationQuinlan, J. J., Zahran, A. H. and Sreenan, C. J. 'Datasets for AVC (H.264) and HEVC (H.265) evaluation of dynamic adaptive streaming over HTTP (DASH)', Proceedings of the 7th International Conference on Multimedia Systems, Klagenfurt, Austria. 2910625: ACM, 1-6. doi:10.1145/2910017.2910625en
dc.identifier.doi10.1145/2910017.2910625
dc.identifier.endpage6en
dc.identifier.isbn978-1-4503-4297-1/16/05
dc.identifier.journaltitleProceedings of the 7th International Conference on Multimedia Systemsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/4755
dc.language.isoenen
dc.publisherACMen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/en
dc.rights© Owner/Author ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 7th International Conference on Multimedia Systems, http://dx.doi.org/10.1145/2910017.2910625en
dc.subjectAVCen
dc.subjectHEVCen
dc.subjectDynamic Adaptive Streaming over HTTPen
dc.subjectDASHen
dc.subjectDataseten
dc.titleDatasets for AVC (H.264) and HEVC (H.265) evaluation of dynamic adaptive streaming over HTTP (DASH)en
dc.typeConference itemen
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