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.
Temmermans, F, Bhowmik, D, Pereira, F & Ebrahimi, T 2021, JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation. in AG Tescher & T Ebrahimi (eds), Applications of Digital Image Processing XLIV. vol. 11842, 118420L, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11842, SPIE, pp. 1-10, SPIE Optical Engineering + Applications, San Diego, United States, 1/08/21. https://doi.org/10.1117/12.2597556
Temmermans, F., Bhowmik, D., Pereira, F., & Ebrahimi, T. (2021). JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation. In A. G. Tescher, & T. Ebrahimi (Eds.), Applications of Digital Image Processing XLIV (Vol. 11842, pp. 1-10). Article 118420L (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11842). SPIE. https://doi.org/10.1117/12.2597556
@inproceedings{6adbf4bb7c6e437c9ba11d1e50710a32,
title = "JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation",
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. ",
author = "Frederik Temmermans and Deepayan Bhowmik and Fernando Pereira and Touradj Ebrahimi",
year = "2021",
month = aug,
day = "1",
doi = "10.1117/12.2597556",
language = "English",
volume = "11842",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
pages = "1--10",
editor = "Tescher, {Andrew G.} and Touradj Ebrahimi",
booktitle = "Applications of Digital Image Processing XLIV",
address = "United States",
note = "SPIE Optical Engineering + Applications ; Conference date: 01-08-2021 Through 05-08-2021",
}