"Dancing icons" detection

Lihi Zelnik-Manor, Itamar Friedman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
Pages110-111
Number of pages2
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011 - Barcelona, Spain
Duration: 6 Nov 201113 Nov 2011

Publication series

NameProceedings of the IEEE International Conference on Computer Vision

Conference

Conference2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
Country/TerritorySpain
CityBarcelona
Period6/11/1113/11/11

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition

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