Special Session Title: Media Authenticity in the Age of Artificial Intelligence
Organisers: Deepayan Bhowmik, Newcastle University, United Kingdom
Frederik Temmermans, Vrije Universiteit Brussel / imec, Belgium
Recent advances in artificial intelligence, especially deep learning, for media manipulation enables users to produce near-realistic media content that is almost indistinguishable from authentic content to the human eye. These developments open a multitude of opportunities, from creative content production, the art industry, and digital restoration to image and video coding. However, they also lead to the risk of the spread of manipulated media such as deepfakes which often lead to copyright infringements, social unrest, the spread of rumours for political gain or encouraging hate crimes. While the term Fake Media is often associated with the latter, we consider it in the context of media modification covering both good and bad usage scenarios.
This special session aims to solicit papers addressing the current advances in the fake media/media authentication domain. This includes, but not limited to, the use of machine learning / artificial intelligence in
● creative content production
● media restoration
● media privacy and security
● media manipulation (including deepfake) detection
● media integrity, authenticity and provenance
● initiatives to standardisation
Biography of Organisers:
Deepayan Bhowmik (firstname.lastname@example.org) is a Senior Lecturer (Associate Professor) in the School of Computing at Newcastle University, United Kingdom. His research expertise includes fundamental image/signal processing, embedded imaging on heterogeneous hardware and related applications, e.g., media security, multimodal remote sensing for environmental monitoring etc. Dr Bhowmik received his PhD in Electronic and Electrical Engineering (image processing major), from the University of Sheffield, UK in 2011. Previously he worked at the University of Sheffield and Heriot-Watt University, Edinburgh, UK as a research associate, and Sheffield Hallam University and University of Stirling, UK as a lecturer in computing. He received a prestigious Dorothy Hodgkin postgraduate award and multiple research grants from various UK research councils, EU, and industry.
Frederik Temmermans (Frederik.Temmermans@vub.be) graduated in 2006 as a Master in Computer Science. He received a PhD in Engineering in 2014. His research focuses on image processing, interoperable access to image data and media privacy, security, authenticity and integrity. He has been involved in various research projects in the medical, mobile and cultural domains. Frederik is an active member of the JPEG standardization committee (ISO/IEC JTC1/SC29/WG1) where he contributed to several standards such as JPSearch (ISO/IEC 24800), the JPEG Universal Metadata Box Format (ISO/IEC 19566-5) and JPEG Privacy and Security (ISO/IEC 19566-4) and chaired exploration studies on Media Blockchain, Fake Media and NFT. Frederik is also co-founder of the VUB spin-off company Universum Digitalis.