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An image search engine is a search engine that is designed to find an image. The search can be based on keywords, a picture, or a web link to a picture. The results depend on the search criterion, such as metadata, distribution of color, shape, etc., and the search technique which the browser uses.
Image meta search (or image search engine) is a type of search engine specialised on finding pictures, images, animations etc. Like the text search, image search is an information retrieval system designed to help to find information on the Internet and it allows the user to look for images etc. using keywords or search phrases and to receive a set of thumbnail images, sorted by relevancy.
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A good reality check is Google Image search. If the desired image is not there, then your chances of getting an image are slim. Also, be creative and vary the search terms. In most search engines you can combine multiple search terms with uppercase OR, AND or NOT, and use * to represent any character(s).
An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words.
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Google Images (previously Google Image Search) is a search engine owned by Google that allows users to search the World Wide Web for images. [1] It was introduced on July 12, 2001, due to a demand for pictures of the green Versace dress of Jennifer Lopez worn in February 2000.
Frick Digital Image Archive: Geograph Britain and Ireland: Commons: 5,100,000+ (Nov 2016 [1]) No No Yes English Getty Images. IStock; Thinkstock; Harvard Library: Internet Archive: 3.5 million [2] Yes Yes Yes Library of Congress: Public domain: Life (magazine) Nationaal Archief (1945–1989) collection of over 400,000 (Dutch) press-images ...