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2. Reverse image search - Wikipedia

   en.wikipedia.org/wiki/Reverse_image_search

   A visual search engine is a search engine designed to search for information on the World Wide Web through a reverse image search. Information may consist of web pages, locations, other images and other types of documents. This type of search engines is mostly used to search on the mobile Internet through an image of an unknown object (unknown ...

3. TinEye - Wikipedia

   en.wikipedia.org/wiki/TinEye

   Active. TinEye is a reverse image search engine developed and offered by Idée, Inc., a company based in Toronto, Ontario, Canada. It is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks. [1] TinEye allows users to search not using keywords but with images.

4. How to do a reverse image search - AOL

   www.aol.com/lifestyle/reverse-image-search...

   If you use Google Chrome as your primary browser, the easiest way to complete a reverse image search is through Google Images. Just right-click the image and select “Search Google for image ...

5. List of CBIR engines - Wikipedia

   en.wikipedia.org/wiki/List_of_CBIR_engines

   Smart image searcher with content-based clustering in a visual network. CBIR search engine, by Imense. CBIR search engine, by Imprezzeo. Product comparison & shopping using CBIR for product images. Previously known as Pixsta. CBIR service tracks image usage across the web. CBIR search engine by KBKGROUP .

6. Content-based image retrieval - Wikipedia

   en.wikipedia.org/wiki/Content-based_image_retrieval

   Content-based image retrieval, also known as query by image content ( QBIC) and content-based visual information retrieval ( CBVIR ), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR ...

7. Image retrieval - Wikipedia

   en.wikipedia.org/wiki/Image_retrieval

   Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query. The similarity used for search criteria could be meta tags, color distribution in images, region/shape attributes ...