• DocumentCode
    47087
  • Title

    Using Electroencephalography to Measure Perceived Video Quality

  • Author

    Arndt, Sebastian ; Antons, Jan-Niklas ; Schleicher, Robert ; Moller, Sebastian ; Curio, Gabriel

  • Author_Institution
    Quality & Usability Lab., Berlin Inst. of Technol., Berlin, Germany
  • Volume
    8
  • Issue
    3
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    366
  • Lastpage
    376
  • Abstract
    Using less bandwidth on the one hand and delivering high quality content on the other hand is one of the big goals for video service providers. Standardized rating tests are commonly used to quantify audiovisual quality. In order to better understand the neuronal processes underlying these quality ratings physiological measures may provide insights. This paper shows results of a series of studies using a physiological measurement, namely electroencephalography (EEG), combined with standard rating methods. The experiments follow an incremental approach in stimuli selection, ranging from purely visual to audiovisual stimuli. Results show that EEG is a feasible complement measurement technique to assess audiovisual quality as we achieve high correlation values between subjective and physiological data consistently through all experiments.
  • Keywords
    electroencephalography; medical signal processing; quality of experience; video signals; EEG; audiovisual quality assessment; audiovisual stimuli; correlation values; electroencephalography; neuronal processes; perceived video quality; physiological data; physiological measurement; quality ratings; standardized rating tests; stimuli selection; subjective data; video service providers; Analysis of variance; Degradation; Electroencephalography; Quality assessment; Streaming media; Video recording; Visualization; Videos; affective computing; electroencephalography;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Signal Processing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1932-4553
  • Type

    jour

  • DOI
    10.1109/JSTSP.2014.2313026
  • Filename
    6777327