Immersive Video Technologies

Giuseppe Valenzise is a CNRS researcher (chargé de recherches) at theUniversité Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes (L2S, UMR 8506), in the Telecom and Networking hub. Giuseppe completed a master degree and a Ph.D. in Information Technology at the Politecnico di Milano, Italy, in 2007 and 2011, respectively. In 2012, he joined the French Centre National de la Recherche Scientifique (CNRS) as a permanent researcher, first at the Laboratoire Traitement et Communication de l’Information (LTCI) Telecom Paristech, and from 2016 at L2S. He got the French « Habilitation à diriger des recherches » (HDR) from Université Paris-Sud in 2019. His research interests span different fields of image and video processing, including traditional and learning-based image and video compression, light fields and point cloud coding, image/video quality assessment, high dynamic range imaging and applications of machine learning to image and video analysis. He is co-author of more than 70 research publications and of several award-winning papers. He is the recipient of the EURASIP Early Career Award 2018. Giuseppe serves/has served as Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, Elsevier Signal Processing: Image communication. He is an elected member of the MMSP and IVMSP technical committees of the IEEE Signal Processing Society for the term 2018-2023, as well as a member of the Technical Area Committee on Visual Information Processing of EURASIP. Dr. Martin Alain received the Master's degree in electrical engineering from the Bordeaux Graduate School of Engineering (ENSEIRB-MATMECA), Bordeaux, France in 2012 and the PhD degree in signal processing and telecommunications from University of Rennes 1, Rennes, France in 2016. As a PhD student working in Technicolor and INRIA in Rennes, France, he explored novel image and video compression algorithms. Since September 2016, he is a postdoctoral researcher in the V-SENSE project at the School of Computer Science and Statistics in Trinity College Dublin, Ireland. His research interests lie at the intersection of signal and image processing, computer vision, and computer graphics. His current topic involves light field imaging, with a focus on denoising, super-resolution, compression, scene reconstruction, and rendering. Martin is a reviewer for the Irish Machine Vision and Image Processing conference, IEEE International Conference on Image Processing, IEEE Transactions on Image Processing, IEEE International Conference on Multimedia & Expo, IEEE International Workshop on Multimedia Signal Processing, Elsevier Signal Processing: Image Communication, IEEE Transaction on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Circuits and Systems I, and IEEE Transactions on Multimedia. He is co-organizer of the special session on Recent Advances in Immersive Imaging Technology held at EUSIPCO 2018 in Rome, ICIP 2019 in Taipei, ICME 2020 in London, and MMSP 2020 in Tampere. He co-organized the tutorial “Immersive Imaging Technologies: from Capture to Display” at ICME 2020 and ACM Multimedia 2020. Emin Zerman is an Associate Senior Lecturer at Mid Sweden University. Previously, he worked as a postdoctoral research fellow at Trinity College Dublin, Ireland, working in V-SENSE project on immersive imaging technologies. He received his Ph.D. degree (2018) in Signals and Images from Télécom ParisTech, France, and his M.Sc. degree (2013) and B.Sc. degree (2011) in Electrical and Electronics Engineering from the Middle East Technical University, Turkey. He is a member of IEEE and IEEE Signal Processing Society. He has been acting as a reviewer for several conferences and peer-reviewed journals, including Signal Processing: Image Communications, IEEE TCSVT, IEEE TIP, IEEE TMM, ACM ToG, ACM JoCCH, ACM Multimedia, QoMEX, EUSIPCO, IEEE ICASSP, IEEE MMSP, IEEE ICME, IEEE ICIP, and NordiCHI. He organized several special sessions on immersive imaging technologies at ICME 2020, MMSP 2020, ICIP 2021, and MMSP 2021. He also organized tutorials at IEEE ICME 2020, ACM Multimedia 2020, and IEEE VCIP 2021. He is interested in human visual perception, user interaction, immersive multimedia, 3D technologies, multimedia quality assessment, and information visualization. Dr. Cagri Ozcinar is a researcher at Samsung R&D Institute UK. Before joining Samsung, he was a research fellow within the V-SENSE project at Trinity College Dublin, Ireland. He was a post-doctoral fellow in the Multimedia group at Institut Mines-Telecom Telecom ParisTech, Paris, France. He received the M.Sc. (Hons.) and the Ph.D. degrees in electronic engineering from the University of Surrey. He is an associate editor of signal, image and video Processing (Springer). He has also been serving as a reviewer for many journals and conference proceedings, such as IEEE TIP, IEEE TCSVT, IEEE TMM, CVPR, IEEE ICASSP, IEEE ICME, IEEE ICIP, IEEE QoMEX, IEEE MMSP, EUSIPCO, BMVC, and WACV. He has been involved in organizing workshops, challenges, and special sessions in EUSIPCO, ICIP, ICME, and MMSP. He co-organized the tutorial “Immersive Imaging Technologies: from Capture to Display” at ICME 2020 and ACM Multimedia 2020. He has been involved in R&D projects that have resulted in commercialized on Samsung DTVs. His research interests include deep learning, computer vision, and immersive media.

PART 1 Foundations 1. Introduction to immersive video technologies

PART 2 Omnidirectional video 2. Acquisition, representation, and rendering of omnidirectional videos 3. Streaming and user behavior in omnidirectional videos 4. Subjective and objective quality assessment for omnidirectional video 5. Omnidirectional video saliency

PART 3 Light fields 6. Acquisition of light field images and videos 7. Light field representation 8. Compression of light fields 9. Light field processing formedia applications 10. Quality evaluation of light fields

PART 4 Volumetric video 11. Volumetric video – acquisition, interaction, streaming and rendering 12. MPEG immersive video 13. Point cloud compression 14. Coding of dynamic 3Dmeshes 15. Volumetric video streaming 16. Processing of volumetric video 17. Computational 3D displays 18. Subjective and objective quality assessment for volumetric video

PART 5 Applications 19. MR in video guided liver surgery 20. Immersivemedia productions involving light fields and virtual production LED walls 21. Volumetric video as a novelmedium for creative storytelling 22. Social virtual reality (VR) applications and user experiences