BMVC 2024 Workshop: Media authenticity in the age of artificial intelligence

27th - 28th November 2024, Glasgow, UK

Recent advances in artificial intelligence, especially Generative AI, for media creation and manipulation enable 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 risk infringing copyrights and spreading manipulated media, such as deepfakes, which often lead to social unrest, the spread of rumours for political gain, or the encouragement of hate crimes.

The workshop aims to solicit papers and talks addressing the current advances in trustworthy media generation, distribution and consumption.

Call for papers (Deadline: 18 August 2024)

We invite you to submit your latest research to present in this workshop.

Topics of interest include but are not limited to, the use of machine learning / artificial intelligence in

  • generative AI and media trust
  • media privacy and security
  • media manipulation (including deepfake) detection
  • AI-generated media content identification
  • media integrity, authenticity and provenance
  • initiatives to standardisation and policy
  • media authenticity use cases
  • Please submit through CMT submission site:

    All submissions need to be anonymous, maximum of 9-pages (references excluded) submission using the BMVC2024 template and following the paper guidelines.

    All deadlines are 23:59, GMT.

  • Paper submission deadline: 18th August, 2024
  • Acceptance notification: 9th September, 2024
  • Camera ready submission: 16th September, 2024
  • Workshop date: 27th/28th November 2024, Glasgow, UK

  • Keynote Speakers

    We are pleased to annouce four confirmed speakers from Academica and Industry.

    Touradj Ebrahimi is a professor of image processing at Ecole Polytechnique Fédérale de Lausanne (EPFL) and Director of its Multimedia Signal Processing Group. Since 2014, he has been the Convenor of the JPEG standardization Committee. Prof. Ebrahimi has founded several startup and spinoff companies in the past two decades, including the most recent RayShaper SA, a research startup company based in Switzerland involved in AI powered multimedia. His areas of interest include image and video compression, media security, quality of experience in multimedia and AI based image and video processing and analysis. Prof. Ebrahimi is a Fellow of the IEEE, SPIE, EURASIP and AAIA and has been recipient of several awards and distinctions, including an IEEE Star Innovator Award in Multimedia, an Emmy Award on behalf of JPEG and the SMPTE Progress medal.

    Leonard Rosenthol is a Senior Principal Scientist with Adobe Systems and serves as their PDF Architect having been involved with PDF technology for almost 30 years. In 2019, he also took on the responsibility of Chief Architect for their Content Authenticity Initiative which led to him chairing the Technical Working Group of the C2PA (Coalition for Content Provenance and Authenticity). Leonard has also served as Senior Standards Representative for Adobe, where he represents Adobe on various international standards bodies including the ISO, W3C, and ETSI. Prior to joining Adobe (for the first time) in 1996, Leonard was the Director of Advanced Technology for Aladdin Systems and responsible for the development of the StuffIt line of products.

    Ziyuan Hu received the BSc degree and PhD degree from the Department of Computer Science and Engineering, Shanghai JiaoTong University. Currently, he is working as Senior Engineer in Huawei Technologies Co., Ltd. His research interests include information security and media authenticity.

    Andrew Tewkesbury is a Solutions Consultant within Airbus Geospatial Business. Andrew draws upon over 20 years of geospatial industry experience working on projects covering a diverse range of domains, including linear infrastructure monitoring, vegetation management, oil, gas, and mineral exploration, urban mapping and change detection, and agriculture. Andrew has a high level of technical expertise in the fields of GIS, remote sensing, image processing, and machine learning. He holds a BSc degree in geological geophysics and a PhD in remote sensing urban change detection. Andrew is actively leading Airbus's initiative on satellite image manipulation detection.


    Deepayan Bhowmik is a Senior Lecturer (Associate Professor) in Data Science and the Director of Business, Innovation and Skills, School of Computing, 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. He received a prestigious Dorothy Hodgkin postgraduate award and multiple research grants from various UK research councils, EU, and industry. He is one of the key editors of the upcoming JPEG Trust standard.

    Frederik Temmermans 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.

    Sabrina Caldwell is a senior lecturer and researcher at The Australian National University. Her area of research interest centers on images, specifically photo credibility. Key to her research is the important distinction between photographs (photos of real people, places and events) and manipulated images or photoart (images created or changed by image manipulation software and/or Artificial Intelligence). She works in the area of physicological signal processing using neural networks, deep learning and bio-inspired computing, particularly as it pertains to human recognition of deception and affective reasoning. She is a member JPEG Committee; Co-chair of JPEG Trust and Co-editor of new international JPEG ISO standard on image credibility under development.