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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 ...
Smart image searcher with content-based clustering in a visual network. CBIR search engine, by Imense. CBIR search engine, by Imprezzeo. Product comparison & shopping using CBIR for product images. Previously known as Pixsta. CBIR service tracks image usage across the web. CBIR search engine by KBKGROUP .
Current status. Active. 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] TinEye allows users to search not using keywords but with images.
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 image and select “Search Google for image ...
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Registration. Optional. Current status. Active. Yandex Search ( Russian: Яндекс) is a search engine owned by the company Yandex, based in Russia. In January 2015, Yandex Search generated 51.2% of all of the search traffic in Russia according to LiveInternet [ ru; uk].
On December 10, 2018, Google rolled out the Lens visual search feature to the Google app for iOS. 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.
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 ...