• DocumentCode
    3534657
  • Title

    Systems considerations in real time video QoE assessment

  • Author

    Dalal, Amy Csizmar

  • Author_Institution
    Dept. of Comput. Sci., Carleton Coll., Northfield, MN, USA
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    1341
  • Lastpage
    1345
  • Abstract
    We consider several key questions in the design of a real time video quality assessment system. How frequently can we generate subjective video quality ratings with some degree of accuracy? How often should we sample the data? How do we weigh the need to consolidate data collection (arguing for fewer, less frequent data points) with the need to monitor video quality in real time (arguing for more frequent data points)? What are the timing requirements for such a system, both in training the system and in assigning ratings to videos? Our results demonstrate that we can achieve accurate video quality ratings by using small portions of the video and a frequent sampling rate, and that in the worst case the system can be trained in ten minutes.
  • Keywords
    multimedia communication; quality of service; video communication; data collection; frequent sampling rate; real time video QoE assessment; real time video quality assessment system; system consideration; Accuracy; Bandwidth; Media; Quality assessment; Streaming media; Training; Video recording;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-1-4673-4942-0
  • Electronic_ISBN
    978-1-4673-4940-6
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2012.6477777
  • Filename
    6477777