|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Title:||JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation|
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|
|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|
|JPEG Exploration on Fake Media Standardization Needs - submission.pdf||Fulltext - Accepted Version||3.76 MB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.