Stammdaten

Titel: Quality of Experience of Web-based Adaptive HTTP Streaming Clients in Real-World Environments using Crowdsourcing
Untertitel:
Kurzfassung:

Multimedia streaming over HTTP has gained momentum with the approval of the MPEG-DASH standard and many research papers evaluated various aspects thereof but mainly within controlled environments. However, the actual behaviour of a DASH client within real-world environments has not yet been evaluated. The aim of this paper is to compare the QoE performance of existing DASH-based Web clients within real-world environments using crowdsourcing. Therefore, we select Google's YouTube player and two open source implementations of the MPEG-DASH standard, namely the DASH-JS from Alpen-Adria-Universität Klagenfurt and the dash.js which is the official reference client of the DASH Industry Forum. Based on a predefined content configuration, this is comparable among the clients, we run a crowd-sourcing campaign to determine the QoE of each implementation in order to determine the current state-of-the-art for MPEG-DASH systems within real-world environments. The gathered data and its analysis will be presented in the paper. It provides insights with respect to the QoE performance of current Web-based adaptive HTTP streaming systems.

Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Erscheinungsdatum: 2014 (Ton-, Bild- oder Datenträger)
Erschienen in: First International Workshop on VideoNext: Design, Quality and Deployment of Adaptive Video Streaming
First International Workshop on VideoNext: Design, Quality and Deployment of Adaptive Video Streaming
zur Publikation
 ( ACM - New York; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Seite: -
Gesamtseitenanzahl: 6 S.

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Keine Version vorhanden
Erscheinungsdatum: 2014
ISBN: -
DOI: -
Homepage: http://www-itec.uni-klu.ac.at/bib/files/videoNextDASH.pdf

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
  • Selbstorganisierende Systeme
  • Human Centered Computing and Design
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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