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・ PerceptIS
・ Perceptive Pixel
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Perceptual hashing
・ Perceptual learning
・ Perceptual load theory
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・ Perceptual MegaPixel
・ Perceptual narrowing
・ Perceptual noise exclusion hypothesis
・ Perceptual paradox
・ Perceptual psychology
・ Perceptual robotics
・ Perceptual system
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・ Perceptual trap
・ Perceptual-based 3D sound localization
・ Perceton


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Perceptual hashing : ウィキペディア英語版
Perceptual hashing

Perceptual hashing is the use of an algorithm that produces a snippet or fingerprint of various forms of multimedia.〔Buldas, Ahto, Andres Kroonmaa, and Risto Laanoja. "Keyless Signatures' Infrastructure: How to Build Global Distributed Hash-Trees - Springer." Keyless Signatures' Infrastructure: How to Build Global Distributed Hash-Trees - Springer. Springer Link, 18 Oct. 2013. Web. 03 Nov. 2014.〕〔Klinger, Evan, and David Starkweather. "PHash." .org: Home of , the Open Source Perceptual Hash Library. N.p., n.d. Web. 02 Nov. 2014.〕 Perceptual hash functions are analogous if features are similar, whereas cryptographic rely on the avalanche effect of a small change in input value creating a drastic change in output value. Perceptual hash functions are widely used to protect against copyright infringement and digital forensics because of the ability to have a correlation between hashes so you can compare and map source data. For example, Wikipedia could maintain a database of text hashes of popular online books or articles for which the authors hold copyrights to, anytime a Wikipedia user uploads an online book or article that has a copyright, the hashes will be almost exactly the same and could be flagged as plagiarism. This same flagging system can be used for any multimedia or text file.
==References==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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