New Research Could Improve Google Image Search
New research recently published out of University of California - San Diego could allow Google’s Image Search to easily begin using elements from “true image search” — that is, the ability for software to detect and identify elements appearing within the image itself rather than just relying upon external text metadata to associate keywords with the images. Read on for more details.
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Posted by Chris Silver Smith of Netconcepts on 04/05/2007 | Permalink | 
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Filed under: Google, Image Optimization, Research and Development, SearchingGoogle, Google-Image-Labeler, Google-Image-Search, image-search, Supervised-Multiclass-Labeling
