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  2. Visual search - Wikipedia

    en.wikipedia.org/wiki/Visual_search

    Visual search is a type of perceptual task requiring attention that typically involves an active scan of the visual environment for a particular object or feature (the target) among other objects or features (the distractors). [1] Visual search can take place with or without eye movements.

  3. Macroglossa Visual Search - Wikipedia

    en.wikipedia.org/wiki/Macroglossa_Visual_Search

    Macroglossa was a visual search engine based on the comparison of images, [1] [2] coming from an Italian Group. The development of the project began in 2009. The development of the project began in 2009.

  4. Reverse image search - Wikipedia

    en.wikipedia.org/wiki/Reverse_image_search

    Search by example: In this technique, also called reverse image search, the search results are obtained through the comparison between images using content-based image retrieval computer vision techniques. During the search the content of the image is examined, such as color, shape, texture or any visual information that can be extracted from ...

  5. List of search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_search_engines

    Desktop search product with Outlook plugin and limited support for other formats via IFilters, uses Lucene search engine. Proprietary (14-day trial) [7] Nepomuk: Linux: Open-source semantic desktop search tool for Linux. Has been replaced by Baloo in KDE Applications from release 4.13 onward. License SA 3.0 and the GNU Free Documentation ...

  6. Category:Image search - Wikipedia

    en.wikipedia.org/wiki/Category:Image_search

    Visual search engine; Visual Word This page was last edited on 13 June 2015, at 03:52 (UTC). Text is available under the Creative Commons ...

  7. Microsoft Bing - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Bing

    Microsoft Bing (also known simply as Bing) is a search engine owned and operated by Microsoft.The service traces its roots back to Microsoft's earlier search engines, including MSN Search, Windows Live Search, and Live Search.

  8. Content-based image retrieval - Wikipedia

    en.wikipedia.org/wiki/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).

  9. SearchMe - Wikipedia

    en.wikipedia.org/wiki/SearchMe

    SearchMe was a visual search engine based in Mountain View, California. It organized search results as snapshots of web pages — an interface similar to that of the iPhone's and iTunes's album selection. [1] [2] In July 2009, the company lost funding and the search engine went offline. [3]