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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.
On December 10, 2018, Google rolled out the Lens visual search feature to the Google app for iOS. [24] In 2022, Google Lens gradually replaced the reverse image search functionality of Google Images, first by replacing it in Google Chrome and later by making it officially available as a web application. [25]
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 ...
Web search engine supporting natural language queries: Altavista is launched. This is a first among web search engines in many ways: it has unlimited bandwidth, allows natural language queries, has search tips, and allows people to add or delete their domains in 24 hours. [13] [14] 1996 New web search engine
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 ...
Project Naptha is a browser extension software for Google Chrome that allows users to highlight, copy, edit and translate text from within images. [1] It was created by developer Kevin Kwok, [2] and released in April 2014 as a Chrome add-on. This software was first made available only on Google Chrome, downloadable from the Chrome Web Store.
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. In April 2010 is released the first public alpha. [3] Users can upload photos or images that they are not sure what they are to determine what the images contain.
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.