TinEye- Image Search Engine

Have you ever thought how the Image is used for Search? In many of the Online puzzle competitions many images are given as puzzles. I always thought why doesn’t Google come up with an Image search where in i give the Image as the search query instead of text and it returns me the text associated with the image. TinEye has done something similar but they give the related images from their own indexed images. Read on to know more…

What is TinEye?
TinEye is the first image search engine on the web to use image identification technology. Given an image to search for, TinEye tells you where and how that image appears all over the web—even if it has been modified.

Just as you are familiar with entering text in a regular search engine such as Google to find web pages that contain that text, TinEye lets you submit an image to find web pages that contain that image.

How does TinEye work?
Every day TinEye’s spiders crawl the web for additional images. Using sophisticated pattern recognition algorithms, TinEye creates a unique and compact digital signature or ‘fingerprint’ for each one and adds it to the index.

When you want to find out where an image is being used on the web, you submit it to TinEye. The attributes of the image are analyzed instantly, and its fingerprint is compared to the fingerprint of every single image in the TinEye search index. The result? A detailed list of any websites using that image, worldwide.

Use TinEye to find out where and how an image appears on the web, even if it has been cropped or heavily modified.


Main Article: Discover how any image is used on the web
TinEye Article: TinEye – Upload an Image and Find It on the Web

TinEye Homepage.
Note: Its currently in Beta stage and one has to request an invite.

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One thought on “TinEye- Image Search Engine

  1. yasiru rangana

    What is the image identification technology or algorithm used by Tineye to create a digital signature or finger print?

    What are the features they map to find that two images are similar or not..?

    Like

    Reply

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