Stammdaten

Titel: Towards View-aware Adaptive Streaming of Holographic content
Untertitel:
Kurzfassung:

Holography is able to reconstruct a three-dimensional structure of an object by recording full wave fields of light emitted from the object. This requires a huge amount of data to be encoded, stored, transmitted, and decoded for holographic content, making its practical usage challenging especially for bandwidth-constrained networks and memory-limited devices. In the delivery of holographic content via the internet, bandwidth wastage should be avoided to tackle high bandwidth demands of holography streaming. For real-time applications, encoding time-complexity is also a major problem. In this paper, the concept of dynamic adaptive streaming over HTTP (DASH) is extended to holography image streaming and view-aware adaptation techniques are studied. As each area of a hologram contains information of a specific view, instead of encoding and decoding the entire hologram, just the part required to render the selected view is encoded and transmitted via the network based on the users’ interactivity. Four different strategies, namely, monolithic, single view, adaptive view, and non-real time streaming strategies are explained and compared in terms of bandwidth requirements, encoding time-complexity, and bitrate overhead. Experimental results show that the view-aware methods reduce the required bandwidth for holography streaming at the cost of a bitrate increase.

Schlagworte: Holography, compression, bitrate adaption, dynamic adaptive streaming over HTTP, DASH
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 09.06.2020 (Online)
Erschienen in: Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: -

Versionen

Keine Version vorhanden
Erscheinungsdatum: 09.06.2020
ISBN (e-book):
  • 978-1-7281-1485-9
  • 978-1-7281-1486-6
eISSN: -
DOI: http://dx.doi.org/10.1109/ICMEW46912.2020.9106055
Homepage: https://ieeexplore.ieee.org/document/9106055
Open Access
  • Online verfügbar (nicht 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

Kooperationen

Organisation Adresse
University of Essex
Wivenhoe Park
C04 3SQ Colchester
Großbrit. u. Nordirland
https://www.essex.ac.uk/
Wivenhoe Park
GB - C04 3SQ  Colchester

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