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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. 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 ...

  4. TinEye - Wikipedia

    en.wikipedia.org/wiki/TinEye

    TinEye. 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] [non-primary source needed] TinEye allows users to search not using keywords ...

  5. How to do a reverse image search - AOL

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

    Method 1: Google Images From a Desktop Computer. 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 ...

  6. Content-based image retrieval - Wikipedia

    en.wikipedia.org/wiki/Content-based_image_retrieval

    General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content 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 field).

  7. Search engine indexing - Wikipedia

    en.wikipedia.org/wiki/Search_engine_indexing

    Search engine indexing is the collecting, parsing, and storing of data to facilitate fast and accurate information retrieval. Index design incorporates interdisciplinary concepts from linguistics, cognitive psychology, mathematics, informatics, and computer science. An alternate name for the process, in the context of search engines designed to ...

  8. Image meta search - Wikipedia

    en.wikipedia.org/wiki/Image_meta_search

    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.

  9. Yahoo Search - Wikipedia

    en.wikipedia.org/wiki/Yahoo_Search

    Written in. PHP [1] Yahoo! Search is a search engine owned and operated by Yahoo!, using Microsoft Bing to power results. Originally, "Yahoo! Search" referred to a Yahoo!-provided interface that sent queries to a searchable index of pages supplemented with its directory of websites. The results were presented to the user under the Yahoo! brand.