High resolution 3D Optical Underwater Imaging with Applications

Junyu DONG, Professor, Ocean University of China, China

Abstract: Due to the complex and challenging conditions of underwater work environments, traditional underwater photography is unable to achieve precise three-dimensional measurements, while acoustic imaging fails to capture high-resolution data and surface color or texture information. High-precision underwater optical 3D imaging can be applied across a wide range of fields, from the inspection and monitoring of marine engineering and other infrastructure projects, to detailed 3D scanning and measurement of seabed structures, such as coral, oyster reefs, and shell ridges, and further to high-precision 3D mapping underwater cable. This report primarily presents the high-precision 3D imaging equipment and technology developed by our research team. It achieves millimeter-level accuracy, with multiple performance indicators, including range resolution, horizontal resolution and sampling rate. Moreover, the system can be flexibly deployed on various types of underwater vehicles.

Keywords: Computer vision, high-precision 3D imaging, underwater environments

Bio: Prof. Junyu Dong received his BSc and MSc from the Department of Applied Mathematics at Ocean University of China in 1993 and 1999 respectively, and received his PhD in November 2003 in Heriot-Watt University, UK. He is currently a professor and the Dean of Faculty of Information Science and Engineering at Ocean University of China. His research interests include 3D underwater imaging and machine learning with applications in marine science. He has been the principal investigator of more than 10 research projects supported by NSFC and MOST. He has published more than 200 major journal and conference papers. Professor Junyu Dong has developed a series of high-resolution underwater 3D imaging systems, one of which achieves the highest accuracy in its category. These systems have been deployed to obtain 3D data of seabed topography, corals, underwater power cables, port seabed foundations, and various other underwater structures. He is the founding editor of Journal of Intelligent Marine Technology and Systems, and also a Chairman of Qingdao Chapter of the Association for Computing Machinery (ACM).

Multimedia content protection

William PUECH, Professor, University of Montpellier, France

Abstract: More multimedia data, such as images, videos and 3D content, are transmitted over digital networks, stored or shared in the Cloud, and shared and visualized on social networks. In addition to the need to compress this multimedia data, which is very voluminous, for reasons of confidentiality, privacy or secret information, it is increasingly necessary to protect multimedia content directly, and not only the access to networks. In this talk, after detailing the specifics of each type of multimedia data, both in terms of compression and protection, we will present the various possible facets for protecting this multimedia content and illustrate with different applications from medical imaging to the Metaverse, passing through the manufacturing industry for fashion and videos from drones. The first part will be dedicated to data hiding, to differentiate between watermarking and steganography, and will finish with a discussion of steganalysis. The second part will detail the cryptographic aspects applied to multimedia content, distinguishing selective encryption from partial encryption, and concluding with crypto-compression (image, video and 3D object). The third part will present different methods of image obscuration, reversible or not, visible or not. We will see that non-visible image obscuration relies mainly on the generation of false images. And finally, methods for sharing secrets applied to images will be discussed. To conclude, we will also discuss the cat-and-mouse game, highlighting the adversarial attacks and defenses that must be taken into account.

Keywords: Cybersecurity, multimedia data, content protection

Bio: Prof. William Puech received the diploma of Electrical Engineering from the Univ. Montpellier, France (1991) and a Ph.D. Degree in Signal-Image-Speech from the Polytechnic National Institute of Grenoble, France (1997) with research activities in image processing and computer vision. He served as a Visiting Research Associate to the University of Thessaloniki, Greece. From 1997 to 2008, he has been an Associate Professor at the Univ. Montpellier, France. Since 2009, he is a full Professor in image processing at the Univ. Montpellier, France. His current interests are in the areas of image forensics and security for safe transfer, storage and visualization by combining data hiding, compression, cryptography and machine learning. He is head of the ICAR team (Image and Interaction) in the LIRMM and has published more than 50 journal papers and 160 conference papers and is currently Associate Editor for 4 journals (SPIC, SP, JVCIR and IEEE TCSVT) in the areas of image forensics and security and Senior Area Editor for IEEE TIFS. Since 2017 he has been the general chair of the IEEE Signal Processing French Chapter. He has been a member of the IEEE Information Forensics and Security TC between 2018 and 2020 and then again between 2022 and 2024. Since 2021 he has also been a member of the IEEE Image, Video and Multidimensional Signal Processing TC, and since 2025 member of the IEEE Multimedia Signal Processing TC.

NBIC technologies are transforming the medical doctor into an engineer

Abdennaceur KACHOURI, Professor, National Engineering School of Sfax (ENIS), Tunisia

Abstract: The convergence of NBIC technologies (Nanotechnology, Biotechnology, Information Technology, and Cognitive Science) is profoundly transforming modern medicine. This evolution is redefining the role of the medical doctor, who is increasingly becoming an engineer of data, intelligent systems, and living processes. This talk highlights how artificial intelligence, data science, advanced medical imaging, and smart technologies are reshaping diagnosis, treatment, and clinical decision-making. It also discusses the implications for medical education, ethics, and the future skills required to train the physician-engineer of tomorrow.

Keywords: Artificial intelligence, advanced medical imaging, smart technologies

Bio: Prof. Abdennaceur Kachouri is an Emeritus Professor of Signal and Image Processing at ENIS and has held a Doctor of Engineering degree in Instrumentation and Measurement from the University of Bordeaux 1 since 1983. He is a specialist in data science, particularly in artificial intelligence. Professor Kachouri has supervised more than 40 PhD theses and has published over 300 papers in high-impact, indexed journals and conferences.