• DocumentCode
    3059897
  • Title

    An Improved Video Mosaic Block Detection Method Considering the Boundary of Macroblock

  • Author

    Dong, Quanwu ; Zhou, Tong ; Xiao, Jianguo

  • Author_Institution
    Inst. of Comput. Sci. & Technol., Peking Univ., Beijing, China
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    195
  • Lastpage
    198
  • Abstract
    This passage proposes a new method to detect mosaic not only using the Y (luminance) component in YUV color space of videos, but also using the U (chrominance) and V component. The mosaic effect is measured by the boundary pixel difference from the neighbor macroblock. Instead of detecting the existence and position of mosaic blocks as traditional methods do, this method focuses on the statistics of the number of suspected mosaic blocks so that the quality of the whole frame affected by mosaic can be assessed. Experimental results show that the new method has good performance on fallout ratio, omission factor and computational complexity.
  • Keywords
    computational complexity; image colour analysis; image segmentation; object detection; statistics; video signal processing; YUV color space; boundary pixel difference; computational complexity; fallout ratio; macroblock boundary; mosaic effect; omission factor; statistics; video mosaic block detection method; Computational complexity; Educational institutions; Image edge detection; Measurement; Pattern recognition; Support vector machines; TV; TV; macroblock; mosaic; video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on
  • Conference_Location
    Piraeus
  • Print_ISBN
    978-1-4673-1741-2
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2012.53
  • Filename
    6274646