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New Algorithms from UCSD Improve Automated Image Labeling [Jacobs School of En... - The Diigo Meta page

www.jacobsschool.ucsd.edu/...release.sfe - Cached - Annotated View

Joel Liu's personal annotations on this page

joel
Joel bookmarked on 2007-04-05 algorithm image
  • Electrical engineers from UC San Diego are making progress on a different kind of image search engine – one that analyzes the images themselves. This approach may be folded into next-generation image search engines for the Internet; and in the shorter term, could be used to annotate and search commercial and private image collections.

This link has been bookmarked by 7 people . It was first bookmarked on 03 Apr 2007, by Kent Sin.

  • 05 Feb 08
  • 19 Oct 07
  • 05 Apr 07
  • davidjennings
    David Jennings

    Interesting new developments in automated analysis and tagging of images

    images tags classification ontology

    • Scientists have previously built image labeling and retrieval systems that can figure out the contents of images that do not have captions, but these systems have a variety of drawbacks. Accuracy has been a problem. Also, some older systems need to be shown a picture and then can only find similar photos. Other systems can only determine whether one particular visual concept is present or absent in an image. Still others are unable to search through large collections of images, which is crucial for use in big photo databases and perhaps one day, the Internet. The new system from the Vasconcelos team begins to addresses these open problems.
    • Electrical engineers from UC San Diego are making progress on a different kind of image search engine – one that analyzes the images themselves. This approach may be folded into next-generation image search engines for the Internet; and in the shorter term, could be used to annotate and search commercial and private image collections.
  • 03 Apr 07