Use TinEye to Find Source Images for Desktop Wallpaper

TinEye is a reverse image search engine. You can submit an image to TinEye to find out where it came from, how it is images_searchbeing used, if modified versions of the image exist, or to find higher resolution versions. TinEye is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks.

How does TinEye work?
When you submit an image to be searched, TinEye creates a unique and compact digital signature or ‘fingerprint’ for it, then compares this fingerprint to every other image in our index to retrieve matches. TinEye can even find a partial fingerprint match.

TinEye does not typically find similar images (i.e. a different image with the same subject matter); it finds exact matches including those that have been cropped, edited or resized.

Why use TinEye?
There are many uses for TinEye, but here are a few:

  • Find out where an image came from, or get more information about it
  • Research or track the appearance of an image online
  • Find higher resolution versions of an image
  • Locate web pages that make use of an image you have created
  • Discover modified or edited versions of an image


Kalooga – The image gallery search engine

Kalooga is a image search engine that specializes in finding image galleries kaloogarather than individual images, as most search engines do. So when you search for say “auto show”, instead of getting a page with images with auto show photos you get a page with galleries containing auto show photos. This automatically enriches the search results.

“Q: What is the difference between Kalooga Search and the image search offered by for instance Google or Yahoo?
A: Most search engines use the name of an image and/or the words that are used in the neighborhood of the image to assess if an image matches the keywords used in the search. However, the most relevant images often don’t have those keywords in the image name or near the image. Kalooga’s approach is radically different; in order to find images with the correct subject, Kalooga first tries to make sure a web page is focused on a certain image subject. Kalooga analyzes the links and references that exist between web pages in order to find gallery web pages that are focused on a certain subject.”

Kalooga’s current image count at 480 million, though not huge, is impressive.

That’s not all. Kalooga also offers website publishers widgets to display image galleries on their sites.

Visit: Kalooga