I know what you’re thinking — Google already has an image search. But TinEye is different.
TinEye’s image search works by uploading an image or giving TinEye a URL for a webpage or image link. From there, TinEye uses proprietary search magic to compare the uploaded image to it’s ever-increasing database of images. Some sort of digital fingerprint is generated for images it collects as it scours the web, and these digital fingerprints are used for the comparison. The results are quite impressive.
Because TinEye compares these digital fingerprints, partial image matches can be made. The example given on the intro video shows how even parodies and Photoshopped versions of the Mona Lisa can be detected. Somehow the behind-the-scenes voodoo captures the likeness of the overall image — even partial matches can be made.
TinEye is developed by the ideé company, whose biz model seems to be the protection of online content for copyright holders. The TineEye search engine seems to be a spin-off designed to increase the awareness of the power of their search engine.
TineEye warns that at present, their image fingerprint database is still in it’s infancy — still, it’s quite impressive even at this stage.
TinEye seems like a great way for visual artists to check on the usage of their work across the web, as well as a great resource when looking for reference images.
by George Coghill -
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Tags: art, artist, image, Photoshop, productivity, search, tool
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