Stammdaten

Titel: Multi-codec ultra high definition 8K MPEG-DASH dataset
Untertitel:
Kurzfassung:

Many applications and online services produce and deliver multimedia traffic over the Internet. Video streaming services with a rapidly growing desire for more resources to provide better quality, such as Ultra High Definition (UHD) 8K content, are on the list. The HTTP Adaptive Streaming (HAS) technique defines standard baselines for audio-visual content streaming to balance the delivered media quality and minimize defects in streaming sessions. On the other hand, video codecs development and standardization help the progress toward improving such services by introducing efficient algorithms and technologies. Versatile Video Coding (VVC) is one of the latest advancements in video encoding technology that is still not fully optimized and not supported on all available platforms. Mentioned optimization of the video codecs and supporting more platforms require years of research and development. This paper provides multiple test assets in the form of a dataset that facilitates the research and development of the stated technologies. Our open-source dataset comprises Dynamic Adaptive Streaming over HTTP (MPEG-DASH) packaged multimedia assets, encoded with Advanced Video Coding (AVC), High Efficiency Video Coding (HEVC), AOMedia Video 1 (AV1), and VVC. We provide our dataset with resolutions of up to 7680x4320 or 8K. Our dataset has a maximum media duration of 322 seconds, and we offer our MPEG-DASH packaged content with two segments lengths, 4 and 8 seconds.

Schlagworte: Dataset, UHD 8K, HTTP Adaptive Streaming (HAS), Dynamic Adaptive Streaming over HTTP (MPEG-DASH), AVC, HEVC, AV1, VVC
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 14.06.2022 (Print)
Erschienen in: MMSys '22 Proceedings of the 13th ACM Multimedia Systems Conference
MMSys '22 Proceedings of the 13th ACM Multimedia Systems Conference
zur Publikation
 ( ACM Press; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 216 - 220

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Erscheinungsdatum: 14.06.2022
ISBN: -
ISSN: -
Homepage: https://dl.acm.org/doi/abs/10.1145/3524273.3532889
Erscheinungsdatum: 05.08.2022
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1145/3524273.3532889
Homepage: https://dl.acm.org/doi/abs/10.1145/3524273.3532889
Open Access
  • Online verfügbar (Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Multimedia Communication

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