Stammdaten

Titel: Performance Analysis of ACTE: a Bandwidth Prediction Method for Low-Latency Chunked Streaming
Untertitel:
Kurzfassung:

HTTP adaptive streaming with chunked transfer encoding can offer low-latency streaming without sacrificing the coding efficiency.This allows media segments to be delivered while still being packaged. However, conventional schemes often make widely inaccurate bandwidth measurements due to the presence of idle periods between the chunks and hence this is causing sub-optimal adaptation decisions. To address this issue, we earlier proposed ACTE (ABR for Chunked Transfer Encoding), a bandwidth prediction scheme for low-latency chunked streaming. While ACTE was a significant step forward, in this study we focus on two still remaining open areas, namely (i) quantifying the impact of encoding parameters, including chunk and segment durations, bitrate levels, minimum interval between IDR-frames and frame rate onACTE, and (ii) exploring the impact of video content complexity on ACTE. We thoroughly investigate these questions and report on our findings. We also discuss some additional issues that arise in the context of pursuing very low latency HTTP video streaming.

Schlagworte: HAS, ABR, DASH, CMAF, low-latency, HTTP chunked transfer encoding, bandwidth measurement and prediction, RLS, encoding parameters, FFmpeg
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Art der Veröffentlichung Printversion
Erschienen in: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
zur Publikation
 ( ACM - New York; )
Erscheinungsdatum: 20.06.2020
Titel der Serie: Special Issue on Smart Communications and Networking for Future Video Surveillance and Special Section on Extended MMSYS - NOSSDAV 2019 Best Papers
Bandnummer: 16
Heftnummer: 2s
Erstveröffentlichung: Ja
Seite: S. 1 - 24

Identifikatoren

ISBN: -
ISSN: 1551-6857
DOI: http://dx.doi.org/10.1145/3387921
AC-Nummer: -
Homepage: https://dl.acm.org/doi/abs/10.1145/3387921
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@uni-klu.ac.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Zitationsindex
  • Science Citation Index Expanded (SCI Expanded)
Informationen zum Zitationsindex: Master Journal List
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
Özyegin University
Nişantepe District, Orman Street
34794 Çekmeköy/Istanbul
Türkei
https://www.ozyegin.edu.tr/en/
Nişantepe District, Orman Street
TR - 34794  Çekmeköy/Istanbul

Beiträge der Publikation

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