Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33317
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dc.contributor.authorTemmermans, Frederiken_UK
dc.contributor.authorBhowmik, Deepayanen_UK
dc.contributor.authorPereira, Fernandoen_UK
dc.contributor.authorEbrahimi, Touradjen_UK
dc.contributor.editorEbrahimi, Touradjen_UK
dc.contributor.editorTescher, Andrew G.en_UK
dc.date.accessioned2021-09-14T00:00:49Z-
dc.date.available2021-09-14T00:00:49Z-
dc.date.issued2021en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33317-
dc.description.abstractMedia assets can easily be manipulated with photo editing software or artificially created using deep learning techniques. This can be done with the intention to mislead, but also for creative or educational purposes. Clear annotation of media modifications is a crucial element to assess trustworthiness. However, these annotations should be attached securly to prevent them from being compromised. In addition, to achieve a wide adoption, interoperability is essential. This paper gives an overview of the media manipulation history, discusses the state-of-the-art and challenges related to AI-based detection methods. The paper then introduces JPEG Fake Media as a provenance-based sustainable approach to secure and trustworthy media annotation. JPEG Fake Media has the objective to produce a standard that can facilitate secure and reliable annotation of media asset creation and modifications. The standard shall support good faith usage scenarios as well as those with malicious intent.en_UK
dc.language.isoenen_UK
dc.publisherSPIEen_UK
dc.relationTemmermans F, Bhowmik D, Pereira F & Ebrahimi T (2021) JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation. In: Ebrahimi T & Tescher AG (eds.) Proceedings Volume 11842, Applications of Digital Image Processing XLIV. 11842. Applications of Digital Image Processing XLIV, San Diego, United States, 01.08.2021-05.08.2021. SPIE. https://doi.org/10.1117/12.2597556en_UK
dc.relation.ispartofseries11842en_UK
dc.rightsCopyright 2021 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Frederik Temmermans, Deepayan Bhowmik, Fernando Pereira, and Touradj Ebrahimi "JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation", Proceedings of SPIE 11842, Applications of Digital Image Processing XLIV, 118420L (1 August 2021); https://doi.org/10.1117/12.2597556en_UK
dc.titleJPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotationen_UK
dc.typeConference Paperen_UK
dc.identifier.doi10.1117/12.2597556en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emaildeepayan.bhowmik@stir.ac.uken_UK
dc.citation.btitleProceedings Volume 11842, Applications of Digital Image Processing XLIVen_UK
dc.citation.conferencedates2021-08-01 - 2021-08-05en_UK
dc.citation.conferencelocationSan Diego, United Statesen_UK
dc.citation.conferencenameApplications of Digital Image Processing XLIVen_UK
dc.citation.date01/08/2021en_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.wtid1754362en_UK
dc.contributor.orcid0000-0003-1762-1578en_UK
dc.date.accepted2021-07-07en_UK
dcterms.dateAccepted2021-07-07en_UK
dc.date.filedepositdate2021-09-13en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorTemmermans, Frederik|en_UK
local.rioxx.authorBhowmik, Deepayan|0000-0003-1762-1578en_UK
local.rioxx.authorPereira, Fernando|en_UK
local.rioxx.authorEbrahimi, Touradj|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorEbrahimi, Touradj|en_UK
local.rioxx.contributorTescher, Andrew G.|en_UK
local.rioxx.freetoreaddate2021-09-13en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2021-09-13|en_UK
local.rioxx.filenameJPEG Exploration on Fake Media Standardization Needs - submission.pdfen_UK
local.rioxx.filecount1en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

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