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 ...
Pages in category "Image search" The following 19 pages are in this category, out of 19 total. This list may not reflect recent changes ().
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 ...
- Application in popular search systems
- Research systems
- 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.
- Search by Image feature
Google Images 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. In 2011, reverse image search functionality was added. When searching for an image, a thumbnail of each matching image is displayed. When the user clicks on a thumbnail, the image is displayed in a larger size, and users may visit the webpage on which the imag
In 2000, Google Search results were limited to simple pages of text with links. Google's developers worked on developing this further, and they realized that an image search tool was required to answer "the most popular search query" they had seen to date: the Green Versace dress
On December 11, 2012, Google Images' search engine algorithm was changed once again, in the hopes of preventing pornographic images from appearing when non-pornographic search terms were used. According to Google, pornographic images would still appear as long as the term searche
Google Images has a Search by Image feature for performing reverse image searches. Unlike traditional image retrieval, this feature removes the need to type in keywords and terms into the Google search box. Instead, users search by submitting an image as their query. Results may include similar images, web results, pages with the image, and different resolutions of the image. The precision of Search by Image's results is higher if the search image is more popular. Additionally, Google Search by
An image is an artifact that depicts visual perception, such as a photograph or other two-dimensional picture, that resembles a subject—usually a physical object—and thus provides a depiction of it. In the context of signal processing, an image is a distributed amplitude of color. A pictorial script is a writing system that employs images as symbols for various semantic entities, rather than the abstract signs used by alphabets.
Images may be two or three-dimensional, such as a photograph or screen display, or three-dimensional, such as a statue or hologram. They may be captured by optical devices – such as cameras, mirrors, lenses, telescopes, microscopes, etc. and natural objects and phenomena, such as the human eye or water. The word 'image' is also used in the broader sense of any two-dimensional figure such as a map, a graph, a pie chart, a painting or a banner. In this wider sense, images can also be ...
In literature, imagery is a "mental picture" which appeals to the senses. It can both be figurative and literal.
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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...
en.wikipedia.org › wiki › Reverse_image_search Cached 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 what formulates a search query.
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.