CMU Researchers One-Up Google Image Search And Photosynth With Visual Similarity Engine

To search these days is really an incredibly service-intensive process. Whereas before, to search something meant you had to through its drawers or folders by hand and inspect things by eye, now it means simply to produce a query and allow the vast computational engines of cloud services to exert themselves in parallel, sifting through petabytes of data and instantly presenting you with your results, ordered and arranged like snacks on a platter. We're spoiled, to say the least. It's not enough, however, to have computers blindly compare 1s and 0s; when humans search, they search intelligently. We've seen incredible leaps in the ability to do this, and in the area of visual search, we've seen some interesting and practical technologies in (respectively) Photosynth and Google's search by image function. And now some researchers at CMU have taken another step in the education of our tools. Their work, being presented at SIGGRAPH Asia, cleaves even closer to human visual cognition, though there's still a long way to go on that front.

Source: http://feedproxy.google.com/~r/Techcrunch/~3/9qL5BsvD0d4/

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