• DocumentCode
    1762331
  • Title

    Adaptive scanning methodology for objectoriented visual information processing

  • Author

    Li Wern Chew

  • Author_Institution
    Intel Archit. Group, Intel Microelectron. (M) Sdn. Bhd., Minden, Malaysia
  • Volume
    49
  • Issue
    10
  • fYear
    2013
  • fDate
    May 9 2013
  • Firstpage
    651
  • Lastpage
    653
  • Abstract
    The raster scan method in visual information processing is the rectangular pattern of image capture and reconstruction which systematically covers the area progressively, one line at a time starting from the top left corner. This traditional scanning method might work well for still image processing but for moving images, a scanning method such as diagonal snake scan can provide a better object correlation in a sequence of image frames. A novel adaptive scanning method for object-oriented visual information processing is proposed. Here, image pixels are collected starting from the centre of the image area and progressively extended outwards similar to the water drop ripple effect. Simulation results have shown that the proposed work uses up to 33% less processing time to cover the region-of-interest in an image compared to the raster scan method. Preliminary simulation results have also shown that with the proposed adaptive scanning methodology, there is a significant improvement in the performance of the object-oriented visual compression.
  • Keywords
    correlation methods; data compression; image coding; image reconstruction; image sequences; object-oriented methods; adaptive scanning methodology; diagonal snake scan; image capture; image frames; image pixels; image reconstruction; image sequence; moving images; object correlation; object-oriented visual information processing; raster scan method; rectangular pattern; region-of-interest; still image processing; visual compression; water drop ripple effect;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2013.0546
  • Filename
    6528805