Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33317
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Temmermans, Frederik
Bhowmik, Deepayan
Pereira, Fernando
Ebrahimi, Touradj
Contact Email: deepayan.bhowmik@stir.ac.uk
Title: JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation
Editor(s): Ebrahimi, Touradj
Tescher, Andrew G.
Citation: Temmermans 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/10.1117/12.2597556
Issue Date: 2021
Date Deposited: 13-Sep-2021
Series/Report no.: 11842
Conference Name: Applications of Digital Image Processing XLIV
Conference Dates: 2021-08-01 - 2021-08-05
Conference Location: San Diego, 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.
Status: AM - Accepted Manuscript
Rights: Copyright 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/10.1117/12.2597556

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