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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.
The previous classification was developed for code refactoring, and not for academic plagiarism detection (an important goal of refactoring is to avoid duplicate code, referred to as code clones in the literature). The above approaches are effective against different levels of similarity; low-level similarity refers to identical text, while ...
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.
Adobe has unveiled a new attribution tool for Photoshop that will help consumers better understand the authenticity of images while giving proper credit to creators.
Find duplicates, hierarchical keywords, distributable catalog with free Media Pro reader, offline browsing of images Picasa: Yes name, date, rating, faces Yes individual, linear Partial Keywords Partial basic Yes Yes Yes rotation only Yes collages, Geotagging, Search for Faces, find duplicates Shotwell: No Yes individual, linear, hide Yes
Fuzzy hashing, also known as similarity hashing, [1] is a technique for detecting data that is similar, but not exactly the same, as other data.This is in contrast to cryptographic hash functions, which are designed to have significantly different hashes for even minor differences.
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