• DocumentCode
    3016584
  • Title

    “Dancing icons” detection

  • Author

    Zelnik-Manor, Lihi ; Friedman, Itamar

  • Author_Institution
    Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2011
  • fDate
    6-13 Nov. 2011
  • Firstpage
    110
  • Lastpage
    111
  • Abstract
    Undoubtedly, a key feature in the popularity of smartphones is the numerous applications one can install. Frequently, we learn about applications we desire by seeing them on someone else´s mobile device. A user-friendly way to obtain these particular applications could be by taking a photo of their corresponding icons as displayed on our friend´s screen. We then need to develop methods for automatic detection and recognition of the icons in a screen shot. This paper suggest a method for icon detection (icon recognition is left for future work). The variety of icons (~500K) and wallpapers makes the detection task very difficult using methods such as edge detection, contour detection or template matching. In order to bypass this difficulty, we suggest using a special feature introduced in several smart phone. When one enters the edit mode for organizing icons on the screen, the icons vibrate. Furthermore, When one moves from one set of icons´ view to another, the icons slide on the screen. We use this feature to obtain a better detection of the icons on the screen.
  • Keywords
    edge detection; image matching; object detection; object recognition; smart phones; contour detection; dancing icons detection; edge detection; icon automatic recognition; mobile device; screen shot; smartphones; template matching; wallpapers; Computer vision; Detectors; Image edge detection; Image motion analysis; Integrated optics; Optical imaging; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-0062-9
  • Type

    conf

  • DOI
    10.1109/ICCVW.2011.6130231
  • Filename
    6130231