New Algorithms from UCSD Improve Automated Image Labeling [Ja...

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Bumatic on 2008-02-05 - Tags image , tagging , computervision , search , algorithm
Claymore on 2007-10-19 - Tags algorithm
Manavid on 2007-04-05 - Tags image , processing
Davidjennings on 2007-04-05 - Tags images , tags , classification , ontology
Joel on 2007-04-05 - Tags algorithm , image

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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.

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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.