TinEye is a new type of image search engine that has been online for several months and recently opened up registration. It is considered an intelligent search engine because it overturns the traditional image search model. In the past, we usually used keywords to search, which was not always efficient. Although there were many so-called natural language search engines later on, they were only suitable for situations with high ambiguity. For example, if you want to search for cherry blossom pictures but can't remember its name (admittedly, this situation is unlikely), and you only know it's a kind of pink flower that blooms in spring, then you can describe it in natural language and search for it.
Unlike traditional search engines that rely on keywords or natural language search engines that rely on language descriptions, TinEye only needs one picture. Yes, TinEye searches using just one picture. It will search for similar images on the Internet based on the color characteristics of the picture you upload or reference from the web. Users can also submit some web pages, which can make TinEye's database more complete.
In my view, the greatest use of TinEye is to find the original image, as I have been using it this way for several months. For example, if you have a reduced-size image and want to get the original size version of this image, TinEye may be able to help you. Overall, TinEye's idea is still quite good, and this breakthrough is also a contribution to the development of search engines. It's possible that Google or other companies might acquire TinEye in the future.