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  2. List of CBIR engines - Wikipedia

    en.wikipedia.org/wiki/List_of_CBIR_engines

    Imense Image Search Portal: CBIR search engine, by Imense. No Yes 3M Private Company Closed Imprezzeo Image Search: CBIR search engine, by Imprezzeo. No Yes Private Company Closed Incogna Image Search: CBIR search engine, by Incogna Inc. No Yes 100M Private Company Closed MiPai similarity search engine: Online similarity search engine Yes Yes 100M

  3. 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).

  4. PeekYou - Wikipedia

    en.wikipedia.org/wiki/PeekYou

    PeekYou is a people search engine that indexes people and their links on the web. Founded in April 2006 by Michael Hussey, PeekYou claims that they have indexed over 250 million people, mostly in the United States and Canada .

  5. List of search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_search_engines

    Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02 [9]. LGPL v2 [10] Terrier Search Engine: Linux, Mac OS X, Unix: Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1 [11] Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 [12] Tropes Zoom: Windows: Semantic Search Engine (no ...

  6. 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. AOL.

  7. Reverse image search - Wikipedia

    en.wikipedia.org/wiki/Reverse_image_search

    Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of information retrieval, the sample image is very useful. In particular, reverse image search is characterized by a lack of search terms.