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Visual search on Like.com

Due Credit: SearchEngineJournal
If searching for keywords is based on the fact that the keywords in a text are indexed then it only follows logically that searching for an image should also take into consideration the characteristics in the image.

Unfortunately the world of image search is not so simple. Most of the image search engines today rely on meta-data for image files i.e. on the information that the person uploading the image mentions in the image name, description, tags etc. It does make sense to have that approach since why would you ever want to fill in wrong information for something you want others to find? But it is a fact that when left to the discretion of the user, exact data or perfect classifications are never undertaken sincerely.


Enter Like.com. An image search engine that does the fundamentally right thing to search for images - define the image in terms of 10,000 or more properties and generate a digital signature for the image. The keywords are mapped to generate digital signatures as well and then its a case of displaying the images that match the signatures.

The site garners to the people inclined more towards celebrity goods and shopping. But there is surely a lot more to expect from the company that has great roots in facial recognition technology .

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