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

Frederik Temmermans; Deepayan Bhowmik; Fernando Pereira; Touradj Ebrahimi

doi:10.1117/12.2597556

1 August 2021 JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation

Frederik Temmermans, Deepayan Bhowmik, Fernando Pereira, Touradj Ebrahimi

Proceedings Volume 11842, Applications of Digital Image Processing XLIV; 118420L (2021) https://doi.org/10.1117/12.2597556
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

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.

Conference Presentation

Citation Download Citation

Frederik Temmermans, Deepayan Bhowmik, Fernando Pereira, and Touradj Ebrahimi "JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation", Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 118420L (1 August 2021); https://doi.org/10.1117/12.2597556

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