Image Organizer - Future of Image Organization

Future of Image Organization

There are several imminent advances anticipated in the image organization domain which may soon allow widespread automatic assignment of keywords or image clustering based on image content:

  • colour, shape and texture recognition (For example, Picasa experimentally allows searching for photos with primary colour names)
  • subject recognition
  • fully or semi-automated facial, torso or body recognition (For example, FXPAL in Palo Alto experimentally extracts faces from images and measures the distance between each face and a template.)
  • geo-temporal sorting and event clustering. Many software will sort by time or place; experimental software has been used to predict special events such as birthdays based on geo-temporal clustering.

In general, these methods either:

  • automatically assign keywords based on content, or
  • measure the distance between an unclassified image and some template image which is associated with a keyword, and then propose that the operator apply the same keyword(s) to the unclassified images

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