Multi-profile ultra high definition (UHD) AVC and HEVC 4K DASH datasets

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dc.contributor.author Quinlan, Jason J.
dc.contributor.author Sreenan, Cormac J.
dc.date.accessioned 2018-07-02T11:02:17Z
dc.date.available 2018-07-02T11:02:17Z
dc.date.issued 2018-06
dc.identifier.citation Quinlan, J. J. and Sreenan, Cormac J. (2018) Multi-Profile Ultra High Definition (UHD) AVC and HEVC 4K DASH Datasets, Proceedings of ACM Multimedia Systems Conference (MMSys 2018) Amsterdam, The Netherlands, 12 - 15 June. en
dc.identifier.startpage 1 en
dc.identifier.endpage 6 en
dc.identifier.uri http://hdl.handle.net/10468/6399
dc.description.abstract In this paper we present a Multi-Profile Ultra High Definition (UHD) DASH dataset composed of both AVC (H.264) and HEVC (H.265) video content, generated from three well known open-source 4K video clips. The representation rates and resolutions of our dataset range from 40Mbps in 4K down to 235kbps in 320x240, and are comparable to rates utilised by on demand services such as Netflix, Youtube and Amazon Prime. We provide our dataset for both realtime testbed evaluation and trace-based simulation. The real-time testbed content provides a means of evaluating DASH adaptation techniques on physical hardware, while our trace-based content offers simulation over frameworks such as ns-2 and ns-3. We also provide the original pre-DASH MP4 files and our associated DASH generation scripts, so as to provide researchers with a mechanism to create their own DASH profile content locally. Which improves the reproducibility of results and remove re-buffering issues caused by delay/jitter/losses in the Internet. The primary goal of our dataset is to provide the wide range of video content required for validating DASH Quality of Experience (QoE) delivery over networks, ranging from constrained cellular and satellite systems to future high speed architectures such as the proposed 5G mmwave technology. en
dc.description.uri http://mmsys2018.org/ en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Association for Computing Machinery, ACM en
dc.relation.ispartof Proceedings of ACM Multimedia Systems Conference (MMSys 2018)
dc.relation.uri http://www.mmsys2018.org
dc.rights © Owner/Author ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. en
dc.subject Dataset en
dc.subject 4K en
dc.subject Ultra high definition en
dc.subject UHD en
dc.subject AVC en
dc.subject H.264 en
dc.subject HEVC en
dc.subject H.265 en
dc.subject Dynamic adaptive streaming over HTTP en
dc.subject DASH en
dc.subject Information systems en
dc.subject Multimedia streaming en
dc.subject Networks en
dc.subject Public Internet en
dc.title Multi-profile ultra high definition (UHD) AVC and HEVC 4K DASH datasets en
dc.type Conference item en
dc.internal.authorcontactother Jason J. Quinlan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: j.quinlan@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-07-02T10:48:23Z
dc.description.version Accepted Version en
dc.internal.rssid 443814875
dc.internal.rssid 478579200
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Proceedings of ACM Multimedia Systems Conference (MMSys 2018) en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Amsterdam, The Netherlands en
dc.internal.IRISemailaddress c.sreenan@cs.ucc.ie en
dc.internal.IRISemailaddress j.quinlan@cs.ucc.ie en
dc.internal.bibliocheck Forthcoming publication ACM. Update citation details and copyright set statement. Add doi, uri etc. en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/ en


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