• DocumentCode
    3195733
  • Title

    A Low Resource Consumption Image Region Extraction Algorithm for Mobile Devices

  • Author

    Guo, Jinhong K. ; Ma, Matthew Y.

  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    336
  • Lastpage
    339
  • Abstract
    Although the camera phone market has experienced exponential growth in recent years, the applications of built-in camera on the mobile phone still have not progressed as anticipated. One of the main reasons is the low resource on the mobile phone that hinder the deployment of many time consuming image processing tasks. In this paper, a fundamental image processing problem namely image segmentation has been revisited for adapting to a low resource computing device, and a novel image region extraction scheme is proposed. The region extraction algorithm takes into account the constraints exhibited in the mobile phone captured images and the low computing resource made available for applications, and can achieve reasonable result in both performance and speed in our experiments.
  • Keywords
    cameras; feature extraction; image segmentation; mobile handsets; built-in camera mobile phone; image processing; image region extraction algorithm; image segmentation; low resource computing device; Cameras; Data mining; Face detection; Image processing; Image segmentation; Layout; Lenses; Mobile handsets; Optical character recognition software; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2007 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-1016-9
  • Electronic_ISBN
    1-4244-1017-7
  • Type

    conf

  • DOI
    10.1109/ICME.2007.4284655
  • Filename
    4284655