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Titel: Scalable High Efficiency Video Coding based HTTP Adaptive Streaming over QUIC
Untertitel:
Kurzfassung:

HTTP/2 has been explored widely for adaptive video streaming, but still suffers from Head-of-Line blocking, and three-way handshake delay due to TCP. Meanwhile, QUIC running on top of UDP can tackle these issues. In addition, although many adaptive bitrate (ABR) algorithms have been proposed for scalable and non-scalable video streaming, the literature lacks an algorithm designed for both types of video streaming approaches. In this paper, we investigate the impact of QUIC and HTTP/2 on the performance of ABR algorithms. Moreover, we propose an efficient approach for utilizing scalable video coding formats for adaptive video streaming that combines a traditional video streaming approach (based on non-scalable video coding formats) and a retransmission technique. The experimental results show that QUIC benefits significantly from our proposed method in the context of packet loss and retransmission. Compared to HTTP/2, it improves the average video quality and provides a smoother adaptation behavior. Finally, we demonstrate that our proposed method originally designed for non-scalable video codecs also works efficiently for scalable videos such as Scalable High Efficiency Video Coding (SHVC).

Schlagworte: QUIC, H2BR, HTTP adaptive streaming, Retransmission, SHVC
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 10.08.2020 (Online)
Erschienen in: Proceedings of the Workshop on the Evolution, Performance, and Interoperability of QUIC (EPIQ '20)
Proceedings of the Workshop on the Evolution, Performance, and Interoperability of QUIC (EPIQ '20)
zur Publikation
 ( ACM Digital Library; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 28 - 34

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Keine Version vorhanden
Erscheinungsdatum: 10.08.2020
ISBN (e-book):
  • 9781450380478
eISSN: -
DOI: http://dx.doi.org/10.1145/3405796.3405829
Homepage: https://dl.acm.org/doi/10.1145/3405796.3405829
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

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Beiträge der Publikation

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