Current image searches give only fair results, but researchers are working on the problem. Here's a couple of articles in MIT Technology Review:
- Better, more accurate image search
- Software learns to tag photos. The test used Flickr photos to assign up to 15 tags per photos. ALIPR (Automatic Linguistic Indexing of Pictures) uses statistical methods to analyze a photo one pixel at a time and determine what tags apply. While the software is still in development, it assigned at least one correct tag 98% of the time. Not perfect, but pretty cool. I drool in anticipation of an improved version.
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