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  2. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  3. List of CBIR engines - Wikipedia

    en.wikipedia.org/wiki/List_of_CBIR_engines

    Visual Image Retrieval and Localization: A visual search engine that, given a query image, retrieves photos depicting the same object or scene under varying viewpoint or lighting conditions. Using Flickr photos of urban scenes, it automatically estimates where a picture is taken, suggests tags, identifies known landmarks or points of interest ...

  4. Juan Rodríguez Cabrillo - Wikipedia

    en.wikipedia.org/wiki/Juan_Rodríguez_Cabrillo

    Cabrillo's heir Don Juan Rodríguez Cabrillo de Medrano was the encomendero of Xicalpa, Jocopila and Comitlán, [32] and twice town magistrate of Santiago de Guatemala and owner of a cattle ranch along the road connecting Xicalapa to Miahuatlán. [33] In February 1579 he helped Francisco Díaz Del Castillo as a witness to his testimony. [34]

  5. 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).

  6. 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 ...

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  8. TinEye - Wikipedia

    en.wikipedia.org/wiki/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 but with ...

  9. Reverse image search - Wikipedia

    en.wikipedia.org/wiki/Reverse_image_search

    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.