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How to find a picture on the Internet?

How many times has it happened that, having found a photograph on your disk, you could not remember where it came from? Or could you not understand at all what is depicted on it? And how many pictures do you have to shovel in search of “something like this, but a little different”? Not to mention the eternal need to find the original photograph in its miniature.

Now this problem will help solve a new search service from Google. In addition to image search, Google now allows you to search through images and photos. In this case, the available image is used as a model for search. If you work in the Google Chrome browser, you can simply drag and drop the picture into the search bar, and Google will display information about all sites that have such a picture. In addition, Google will suggest the most likely name for this image. Owners of the Chrome and Firefox browsers can also get plug-ins that allow you to search by right-clicking on the source image.

I must say that this idea is not revolutionary. Since 2008, there is TinEye – a search engine specializing in finding images on the Internet. TinEye became famous for using the photo to establish the identity of an unknown soldier. The system managed to find a file with a full list of people depicted in the photo. But, despite the rather respectable age of TinEye for the site, the young service from Google already has more powerful search algorithms and a larger database of images. In addition, unlike TinEye, Google offers not only completely matching, but also similar images, which undoubtedly will appeal to web designers.

Technically, the process of searching for images is almost no different from ordinary text search. Google robots bypass the World Wide Web and index the images and photos they encountered along the way. Of course, constructing an image index is much more complicated than indexing text documents – for each image, characteristic elements are selected, which are then described in a certain way, sorted and stored in the database. Thus, each image receives its own unique key.

During the search, the user-uploaded sample is also presented in the form of a key, by which a comparison is made with the keys already in the database. Naturally, a complete match is possible only if the photos are absolutely identical. However, the description method used allows the recognition of similar images regardless of file format, size, color, and other characteristics that do not affect the meaning of the image. Recognition is possible even in terms of the original image.

Of course, all this is possible only if the Internet still has a similar photograph and its description. So for personal photos you can not be afraid. But if you like to load pages on social networks with your photos, then you need not worry – soon Google will find out about you.

For example, the system recognized the photos of Andrei Arshavin and Madonna absolutely confidently. The only thing that could confuse Google was the mirrored image. But dashing trouble began, search algorithms will be improved.

How many times has it happened that, having found a photograph on your disk, you could not remember where it came from? Or could you not understand at all what is depicted on it? And how many pictures do you have to shovel in search of “something like this, but a little different”? Not to mention the eternal need to find the original photograph in its miniature.

Now this problem will help solve a new search service from Google. In addition to image search, Google now allows you to search through images and photos. In this case, the available image is used as a model for search. If you work in the Google Chrome browser, you can simply drag and drop the picture into the search bar, and Google will display information about all sites that have such a picture. In addition, Google will suggest the most likely name for this image. Owners of the Chrome and Firefox browsers can also get plug-ins that allow you to search by right-clicking on the source image.

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