• DocumentCode
    546895
  • Title

    The effect of image compression on automotive optical flow algorithms

  • Author

    Forster, Julian ; Jiang, Xin ; Terzis, Anestis ; Rothermel, Albrecht

  • Author_Institution
    Dept. Environ. Perception., Daimler AG, Ulm, Germany
  • fYear
    2011
  • fDate
    23-24 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Advantageous interconnections of automotive cameras and electronic control units are possible by using IP based technology within the vehicles. Automotive implementation of this kind of technology enables limited data rates. Camera streams have to be compressed for the transmission over such a medium. The image processing algorithms can be applied after a decompression of the camera streams. In this paper we propose a method to compare the effect of different image compression algorithms on the optical flow. It comprises a metric, based on a nearest neighbour method, to compare optical flow fields.
  • Keywords
    IP networks; automobiles; cameras; data compression; driver information systems; image coding; image sequences; IP based technology; automotive cameras; automotive driver assistance systems; automotive optical flow algorithms; camera stream decompression; electronic control units; image compression effect; image processing algorithms; nearest neighbour method; Adaptive optics; Automotive engineering; Cameras; Image coding; Optical imaging; Pixel; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Media Technology (CEMT), 2011 14th ITG Conference on
  • Conference_Location
    Dortmund
  • Print_ISBN
    978-1-4577-1269-2
  • Electronic_ISBN
    978-3-00-033964-6
  • Type

    conf

  • Filename
    5936555