• DocumentCode
    664846
  • Title

    Investigation of the effectiveness of video quality metrics in video pre-processing

  • Author

    Chilukamari, Jayachandra ; Kannangara, Sampath ; Maxwell, G.

  • Author_Institution
    Sch. of Eng., Robert Gordon Univ., Aberdeen, UK
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents an investigation of the effectiveness of current video quality measurement metrics in measuring variations in perceptual video quality of pre-processed video. The results show that full-reference video quality metrics are not effective in detecting variations in perceptual video quality. However, no reference metrics show better performance when compared to full reference metrics, particularly, Naturalness Image Quality Evaluator (NIQE) is notably better at detecting perceptual quality variations.
  • Keywords
    video signal processing; visual perception; NIQE; full reference video quality metrics; naturalness image quality evaluator; perceptual video quality variation; video preprocessing; video quality measurement metrics; video quality metric effectiveness; Image quality; Maximum likelihood detection; Measurement; PSNR; Quality assessment; Video recording; Video sequences; Objective metric; perceptual; pre-processing; quality; video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics ?? Berlin (ICCE-Berlin), 2013. ICCEBerlin 2013. IEEE Third International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-1411-1
  • Type

    conf

  • DOI
    10.1109/ICCE-Berlin.2013.6698005
  • Filename
    6698005