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dc.creatorWeaver, Andrew
dc.date.accessioned2017-12-11T18:50:15Z
dc.date.available2017-12-11T18:50:15Z
dc.date.issued2017-12-02
dc.identifier.urihttp://hdl.handle.net/2376/12871
dc.descriptionFrom paper Proposal: Perceptual hashing is a method of identifying related content using computer analysis; the goal being to eliminate the (often impossible) necessity of having a person look at every item one-by-one to make comparisons. Perceptual hashes function in a similar sense to standard checksums, except instead of comparing hashes to establish exact matches between files at the bit level, they establish similarity of content as would be perceived by a viewer or listener. I will present an overview of the concepts of perceptual hashing, with a particular focus on the hashing contained in the MPEG-7 standard, as well as ongoing research into the integration of perceptual hashing in archival workflows being conducted at a medium sized broadcast archive. Topics addressed will include how perceptual hashing was implemented, why certain decisions were made, successes and failures of the research and potential benefits. An HTML based slide deck.en_US
dc.description.abstractPresentation slides about Perceptual Hashing in Audiovisual preservation work-flows presented at the Association of Moving Image Archivists annual conference, 2017.en_US
dc.languageEnglish
dc.rightsIn copyright
dc.rightsopenAccess
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.rights.urihttp://purl.org/eprint/accessRights/OpenAccess
dc.subjectPerceptual Hashing
dc.subjectPreservation
dc.subjectAudiovisual
dc.subjectCataloging
dc.titleAutomation and Similarity: an Introduction to Perceptual Hashing
dc.typePresentation
dc.typeText


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  • Weaver, Andrew
    This collection contains materials created by Andrew Weaver, Digital Infrastructure and Preservation Librarian at Washington State University

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