29 Dec '12, 12pm

@NickTurpin No intentional bias against color. Google's image search algorithm ranks based on visual similarity.

@NickTurpin No intentional bias against color. Google's image search algorithm ranks based on visual similarity.

A Google Prototype for a Precision Image Search from the New York Times covers a new research paper (PDF format) from Google that talks about a way of ranking images based on analyzing "visual links" between them. Image search at the major search engines today largely relies on looking at words that are used around images — on the pages that host them, in image file names, and in ALT text associated with them. No real image recognition is done by any of the majors. Search for "apples," and they haven’t actually somehow scanned the images itself to "see" if they contain pictures of apples. The method in Google’s paper changes that. In short, a group of images retrieved for a query using traditional search methods is then further analyzed. Image recognition software finds which images in the group seem most similar to each other. It then estimates "visual hyperlinks" between...

Full article: http://searchengineland.com/google-paper-better-image-sea...

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We welcome constructive comments and allow any that meet our common sense criteria. This means being respectful and polite...

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We welcome constructive comments and allow any that meet our common sense criteria. This means being respectful and polite...