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Team Think Labs | Reverse Image Search
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Reverse Image Search

Definitions

From Wikipedia: Reverse Image Search is a content-based image retrieval CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon. Reverse image search allows users to discover content that is related to a specific sample image, popularity of an image, and discover manipulated versions and derivative works.

Super-simplified: Find matches based on a sample image.

 

TinEye and Google

The primary Reverse Image Search engine that I use is TinEye- it gives better results and has additional features.

 

Why would anyone need this?

A reverse image search almost seems useless- if you already have an image why would you need another? A Reverse Image Search can link you to the original source or additional info, find high-res sources, and even find images that have been manipulated.

 

Getting Additional Info

Lets discover who these four old geezers are through a reverse image search:

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results

 

We get 22 matching results, and the 5th result has the names in the URL: Henry Ford, Thomas Edison, Warren G. Harding, Harvey Firestone. Also note that all of the results are higher resolution than my source.

 

Using a Manipulated or Cropped Source

TinEye actually does a very good job at finding a match, even if the source is cropped and manipulated.

cropped

 

result2

Notice the waves and horizon are a completely different color.

 

The Google Comparison:

Expect Google to buy out TinEye any day now.

googleResults

 

Search by Color!

http://labs.tineye.com/multicolr

If you are looking for that perfect image that matches your color palette, TinEye has a new feature that allows you to search images by color.

colorMatch