Stammdaten

Titel: Intense: In-Depth Studies on Stall Events and Quality Switches and Their Impact on the Quality of Experience in HTTP Adaptive Streaming
Untertitel:
Kurzfassung:

With the recent growth of multimedia traffic over the Internet and emerging multimedia streaming service providers, improving Quality of Experience (QoE) for HTTP Adaptive Streaming (HAS) becomes more important. Alongside other factors, such as the media quality, HAS relies on the performance of the media player’s Adaptive Bitrate (ABR) algorithm to optimize QoE in multimedia streaming sessions. QoE in HAS suffers from weak or unstable internet connections and suboptimal ABR decisions. As a result of imperfect adaptiveness to the characteristics and conditions of the internet connection, stall events and quality level switches could occur and with different durations that negatively affect the QoE. In this paper, we address various identified open issues related to the QoE for HAS, notably (i) the minimum noticeable duration for stall events in HAS; (ii) the correlation between the media quality and the impact of stall events on QoE; (iii) the end-user preference regarding multiple shorter stall events versus a single longer stall event; and (iv) the end-user preference of media quality switches over stall events. Therefore, we have studied these open issues from both objective and subjective evaluation perspectives and presented the correlation between the two types of evaluations. The findings documented in this paper can be used as a baseline for improving ABR algorithms and policies in HAS.

Schlagworte: Crowdsourcing, HTTP adaptive streaming, quality of experience, quality switches, stall events, subjective evaluation, objective evaluation
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 24.08.2021 (Print)
Erschienen in: IEEE Access
IEEE Access
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: 9
Heftnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 118087 - 118098

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Erscheinungsdatum:
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/access.2021.3107619
Homepage: -
Open Access
  • Online verfügbar (Open Access)
Erscheinungsdatum: 24.08.2021
ISBN: -
ISSN: 2169-3536
Homepage: https://ieeexplore.ieee.org/document/9521894

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
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

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