• DocumentCode
    3479029
  • Title

    Motion vector processing using the color information

  • Author

    Huang, Ai-Mei ; Nguyen, Truong

  • Author_Institution
    ECE Dept, UCSD, La Jolla, CA, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1605
  • Lastpage
    1608
  • Abstract
    In this paper, we investigate color distribution around object edges and further exploit this information for motion vector reliability analysis. Since the motion vectors are often estimated only based on luminance component, the resulting motion vectors may become unreliable for the areas with similar intensity. By making use of the color information for the received residual energy calculation, these unreliable motion vectors can effectively be identified. Moreover, the motion boundaries can be easily detected due to stronger residual energy distribution on the object boundaries. This characteristic can also be used to assist the motion vector processing in motion-compensated frame interpolation so that the interpolated object structures can be well maintained. Experimental results show that using same motion vector processing approach but with additional consideration on color information outperforms other methods.
  • Keywords
    edge detection; image colour analysis; image motion analysis; object detection; color distribution; color information; luminance component; motion boundaries; motion vector reliability analysis; motion-compensated frame interpolation; object edges; residual energy distribution; Chromium; Image color analysis; Image edge detection; Image segmentation; Information analysis; Interpolation; Motion analysis; Motion detection; Motion estimation; Object detection; color information; frame rate up conversion; motion compensated frame interpolation; motion vector processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413657
  • Filename
    5413657