- Hui-Yin Wu, Centre Inria d’Université Côte d’Azur, France
- Stephen Jolly, BBC R&D, United Kingdom
- Alexandre Bruckert, LS2N, Nantes Université, France
- Lucie Lévêque, LS2N, Nantes Université, France
Hui-Yin Wu (hui-yin.wu at inria.fr) is a junior research scientist in the Biovision Team of Centre Inria d’Université Côte d’Azur, France. Her ongoing research concerns tools and algorithms for interactive and multimedia storytelling, notably for 3D immersive environments and film. Her current topics of interest include: designing accessible multimedia experiences for low vision, studying and modelling of user attention and behaviour in immersive 3D environments, content generation and assisted creativity for extended reality, and methods for the automated analysis of visual media. She has participated in the organisation of four previous editions of WICED, and she is an active reviewer for prominent journals and conferences in computer graphics, multimedia, and interactive digital entertainment. A full list of her research activities, services, and publications can be found on her website.
Stephen Jolly (stephen.jolly at bbc.co.uk) is a research engineering lead at BBC R&D in Salford, UK. His research interests include the future automation of television production using AI and machine learning, with a particular focus on virtual camera operation and vision mixing. He has a particular interest in identifying and publishing datasets to accelerate academic research in these fields. He also represents to the community the BBC’s interests in applying Intelligent Cinematography techniques to future media forms, such as “flexible” or “object-based” media, in which television content is rendered at the point of playback to personalise it to each viewer. He has published, delivered a keynote presentation and served on the program committee at several previous editions of WICED. Information about Stephen’s broader interests can be found on the BBC R&D website, while his publications are listed on ResearchGate.
Alexandre Bruckert (alexandre.bruckert at univ-nantes.fr) is a Postdoctoral Researcher within the Image Perception Interaction team of Nantes Laboratory of Digital Sciences (LS2N), Nantes University, France. His current research interests include eye movements research, saliency and gaze modeling, machine learning in the context of video processing, and automated movie editing. He received the Ph.D degree from the IRISA Laboratory, University of Rennes 1, France, in 2022, with a thesis entitled “A perceptual approach to film editing”. More information on his website.
Lucie Lévêque (lucie.leveque at univ-nantes.fr) is a Postdoctoral Researcher within the Image Perception Interaction team of Nantes Laboratory of Digital Sciences (LS2N), Nantes University, France. Her current research focuses on methodologies for studying the acceptability of artificial intelligence technologies from an interdisciplinary and user-centric perspective. She received the Ph.D. degree from the School of Computer Science and Engineering, Cardiff University, United Kingdom, in 2019, with a thesis entitled “Analyzing and quantifying visual experience in medical imaging”. She is now vice chair of the Video Quality Experts Group (VQEG) on Quality Assessment for Health Applications. Lucie organised the workshop EmotionIMX: Considering Emotions in Multimedia Experience at ACM IMX 2022. More information on her website.