TinEye Mona Lisa Widget
Hey, what's this?
This is a fun embeddable widget that demonstrates the image identification technology behind TinEye: The image search engine! If you haven't tried it yet, you can sign up to our beta.
What you are seeing is 150+ different retouched variations of the same image. They were all found on the web using TinEye, simply by searching for an untouched version of the original (the first image you see in the series). We took the results of our search and put them into this image flow interface, which allows you to scan through the different images and see the differences between them.
How does TinEye search for an image using image identification?
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.
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.
How do I use this TinEye Widget?
To quickly scan through the 150+ different variations of the image, just click on the play button. You can also view the images one at a time, by using the next and previous buttons. The web address below each image is clickable, and will take you to the web page where that particular version of the image can be found.
To embed this widget on your website or blog, just click the 'Embed' link, then cut and paste the html.
