• DocumentCode
    3457778
  • Title

    Mosaic Defect Detection in Digital Video

  • Author

    Sun, Shui-Fa ; Han, Shu-Heng ; Wang, Gang ; Xu, Yi-Chun ; Lei, Bang-Jun

  • Author_Institution
    Inst. of Intell. Vision & Image Inf., China Three Gorges Univ., Yichang, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The video quality can be degraded because of physical problems such as repeated projection, low-quality compression/decompression, or bad chemical decomposition of the original recording material. It becomes increasingly important to locate degraded video (video with defects) with the wide application of digital media. One common video defection is mosaic, where several even square combined together and the original image information is lost. In this paper, after analyzing the characteristic of the mosaic defect in detail, a mosaic defection detection approach in the spatial domain is proposed. Four even squares are detected firstly and the intersection points of these squares are selected as the features of mosaic macro block (MMB), and a mosaic consists of several MMBs. On the other hand, a fast and effective detection algorithm in the edge domain is proposed based on the analysis of existing approaches. Two tricks are adopted to speed up the detection: a new template matching strategy and the preprocessing of the edge image. Experiments are carried out and the results show that the proposed algorithms have good performance.
  • Keywords
    edge detection; image matching; image segmentation; digital media; digital video; edge domain; mosaic defect detection; mosaic macro block; spatial domain; template matching strategy; video defection; video quality; Algorithm design and analysis; Computer vision; Computers; Detection algorithms; Electronic mail; Image edge detection; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (CCPR), 2010 Chinese Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-7209-3
  • Electronic_ISBN
    978-1-4244-7210-9
  • Type

    conf

  • DOI
    10.1109/CCPR.2010.5659234
  • Filename
    5659234