Toggle Main Menu Toggle Search

Open Access padlockePrints

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

Lookup NU author(s): Dr Deepayan BhowmikORCiD


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. 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 securely 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.

Publication metadata

Author(s): Temmermans F, Bhowmik D, Pereira F, Ebrahimi T

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Applications of Digital Image Processing XLIV

Year of Conference: 2021

Online publication date: 01/08/2021

Acceptance date: 02/04/2018

Publisher: SPIE


DOI: 10.1117/12.2597556

Library holdings: Search Newcastle University Library for this item

Series Title: SPIE Conference Proceedings

ISBN: 9781510645226