Stammdaten

Titel: Low Latency Live Streaming Implementation in DASH and HLS
Untertitel:
Kurzfassung:

Low latency live streaming over HTTP using Dynamic Adaptive Streaming over HTTP (LL-DASH) and HTTP Live Streaming (LL- HLS) has emerged as a new way to deliver live content with an respectable video quality and short end-to-end latency. Satisfying these requirements while maintaining viewer experience in practice is challenging, and adopting conventional adaptive bitrate (ABR) schemes directly to do so will not work. Therefore, recent solutions including LoL+, L2A, Stallion, and Llama re-think conventional ABR schemes to support low-latency scenarios. These solutions have been integrated with dash.js [9] that supports LL-DASH. However, their performance in LL-HLS remains in question. To bridge this gap, we implement and integrate existing LL-DASH ABR schemes in the hls.js video player [18] which supports LL-HLS. Moreover, a series of real-world trace-driven experiments have been conducted to check their efficiency under various network conditions including a comparison with results achieved for LL-DASH in dash.js. Our version of hls.js is publicly available at [3] and a demo at [4].

Schlagworte: Low Latency Streaming, ABR, LL-DASH, LL-HLS, hls.js, dash.js
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 10.10.2022 (Print)
Erschienen in: MM'22 Proceedings of the 30th ACM International Conference on Multimedia
MM'22 Proceedings of the 30th ACM International Conference on Multimedia
zur Publikation
 ( ACM Digital Library; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 7343 - 7346

Versionen

Keine Version vorhanden
Erscheinungsdatum: 10.10.2022
ISBN:
  • 978-1-4503-9203-7
ISSN: -
Homepage: https://dl.acm.org/doi/10.1145/3503161.3548544
Erscheinungsdatum: 10.10.2022
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1145/3503161.3548544
Homepage: https://dl.acm.org/doi/10.1145/3503161.3548544
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: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Multimedia Communication

Kooperationen

Organisation Adresse
National University of Singapore
21 Lower Kent Ridge Rd
119077 Singapur
Singapur
21 Lower Kent Ridge Rd
SG - 119077  Singapur
University of Sharjah
University City Rd
Sharjah
Vereinigte arab. Emirate
University City Rd
AE  Sharjah

Beiträge der Publikation

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