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  1. 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 ...

  2. en.wikipedia.org › wiki › Google_Image_SearchGoogle Images - Wikipedia

    Google Images (previously Google Image Search) is a search engine owned by Google that allows users to search the World Wide Web for images. It was introduced on July 12, 2001 due to a demand for pictures of the Green Versace dress of Jennifer Lopez worn in February 2000.

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  4. Pages in category "Image search" The following 19 pages are in this category, out of 19 total. This list may not reflect recent changes ().

  5. 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 ...

    • Overview
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    • Application in popular search systems
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    • Open-source implementations

    Reverse image search is a content-based image retrieval 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 what formulates a search query. In particular, reverse image search is characterized by a lack of search terms. This effectively removes the need for a user to guess at keywords or terms that may or may not return a correct result. Reverse image search also allows users to

    Reverse image search may be used to: 1. Locate the source of an image. 2. Find higher resolution versions. 3. Discover webpages where the image appears. 4. Find the content creator. 5. Get information about an image.

    Commonly used reverse image search algorithms include: 1. Scale-invariant feature transform - to extract local features of an image 2. Maximally stable extremal regions 3. Vocabulary tree

    Google's Search by Image is a feature that uses reverse image search and allows users to search for related images just by uploading an image or image URL. Google accomplishes this by analyzing the submitted picture and constructing a mathematical model of it using advanced algor

    TinEye is a search engine specialized for reverse image search. Upon submitting an image, TinEye creates a "unique and compact digital signature or fingerprint" of said image and matches it with other indexed images. This procedure is able to match even very edited versions of th

    Pixsy reverse image search technology detects image matches on the public internet for images uploaded to the Pixsy platform. New matches are automatically detected and alerts sent to the user. For unauthorised use, Pixsy offers a compensation recovery service for commercial use

    Microsoft Research Asia's Beijing Lab published a paper in the Proceedings of the IEEE on the Arista-SS and the Arista-DS systems. Arista-DS only performs duplicate search algorithms such as principal component analysis on global image features to lower computational and memory costs. Arista-DS is able to perform duplicate search on 2 billion images with 10 servers but with the trade-off of not detecting near duplicates.

    In 2007, the Puzzle library is released under the ISC license. Puzzle is designed to offer reverse image search visually similar images, even after the images have been resized, re-compressed, recolored and/or slightly modified. The image-match opensource project was released in 2016. The project, licensed under the Apache License, implements a reverse image search engine written in Python. Both the Puzzle library and the image-match projects use algorithms published at an IEEE ICIP conference.

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    Public Domain resources should have either the Public Domain Mark 1.0 or the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication mark visible. Non-Public Domain resources should not be added to this list. Listing is ordered alphabetically. 1. Avopix.com– More than 155,000 absolutely free photos under Creative Commons CC0 (Public domain) – free for personal and commercial use, no attribution required. 2. British Library Over a million images, taken mostly from illustrations in 17th, 18th and 19th Century books, released into the public domain, as announced on the British Library blog. Metadata about the images and the books from which they come is also available for download on Github. 3. ClipartSpy– Over 2.9 million public domain/CC0 clipart images from popular galleries. 4. Clker– Easy to search public domain images, directly usable in openoffice.org 5. Pixnio– A large collection of high resolution public domain images. Free for personal and commercial use, no attribution required...

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