JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation

Frederik Temmermans, Deepayan Bhowmik, Fernando Pereira, Touradj Ebrahimi

Research output: Chapter in Book/Report/Conference proceedingConference paper

4 Citations (Scopus)

Abstract

Media 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.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XLIV
EditorsAndrew G. Tescher, Touradj Ebrahimi
PublisherSPIE
Pages1-10
Number of pages10
Volume11842
ISBN (Electronic)9781510645226
DOIs
Publication statusPublished - 1 Aug 2021
EventSPIE Optical Engineering + Applications - San Diego, United States
Duration: 1 Aug 20215 Aug 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11842
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSPIE Optical Engineering + Applications
Country/TerritoryUnited States
CitySan Diego
Period1/08/215/08/21

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