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Google’s Image Analysis Technology

Image search has left something to be desired for the very good reason that it’s really tough for a machine to figure out the content of an image.

Search engines have traditionally looked for metadata surrounding a given image when determining the relevance of a graphic file to a search query. That data has include keywords within a graphic’s file name, the alt text associated with the HTML image code, and the text surrounding the graphic such as captions. Everything, that is, but the actual content of the graphic.

In an effort to boost their ad revenue from their image search function, Google is developing technology that would allow them to scroll the pixels of images in order to recognize scenes and faces.

Beet.TV interviewed R.J. Pittman, Google’s Director of Product Management for Consumer Search Properties, about the technology:

He sure does say “properties” a lot, doesn’t he?

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About David Erickson

David Erickson is principal of e-Strategy Media, a digital marketing consultancy based in Minnesota. David has extensive experience in digital marketing and is often used as an expert source by media and asked to speak on the topic before organizations and to sit on panel discussions.

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