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Tuesday 23 August 2022 12:00 - 12:45

The Axe Santé is organising a Health Tech Lunch on Tuesday, August 23rd from 12:00 to 12:45 at Swiss Digital Center in Sierre (room Atlas).

Touradj Ebrahimi is professor of image processing at Ecole Polytechnique Fédérale de Lausanne (EPFL). He is active in teaching and research in multimedia signal processing and heads the Multimedia Signal Processing Group at EPFL.

Since 2014, he has been the Convenor (Chairman) of the JPEG standardization Committee which has produced a family of standards that have revolutionised the world of imaging. He represents Switzerland as the head of its delegation to JTC1 (in charge of standardization of information technology in ISO and IEC), SC29 (the body overseeing MPEG and JPEG standardization) and is a member of ITU representing EPFL. He was previously the chairman of the SC29 Advisory Group on Management until 2014. Prof. Ebrahimi is involved in Ecma International as a member of its ExeCom since 2020 and serves as consultant, evaluator and expert for European Commission and other governmental funding agencies in Europe and advises a number of Venture Capital companies in Switzerland in their scientific and technical audits. He has founded several startup and spinoff companies in the past two decades, including the most recent RayShaper SA, a research company based in Crans-Montana involved in AI powered multimedia. Prof. Ebrahimi is author or co-author of over 300 scientific publications and hold a dozen invention patents. 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 and EURASIP and has been recipient of several awards and distinctions, including a Prime Time Emmy Award for JPEG and an IEEE Star Innovator Award in Multimedia.

The text generation of learning based visual information coding

Artificial Intelligence (AI) has emerged as a key technology in a wide range of applications, including those in visual information processing.
Computer vision based on AI has shown outstanding results in pattern recognition and content understanding and AI-based image processing has demonstrated unparalleled performance in cognitive enhancement of visual content as witnessed by advances in super-resolution and denoising operations taking advantage of deep learning techniques. More recent efforts in AI-based compression have shown superior performance when compared to the most advanced to state of the art in image coding.
Based on the above observations, the JPEG standardization committee has started two new project in AI-based visual information coding for next generation applications where visual content should be efficiently represented to be used for both human and machine consumption. The first is referred to JPEG AI and focuses on compression of images, while the second is known as JPEG Pleno Point Cloud Coding and deals with immersive contents represented as point clouds. The scope of JPEG AI is defined as a learning-based image coding standard that offers a single-stream, compact and compressed domain representation, targeting both human visualization, with significant compression efficiency improvement over current image coding standards, as well as effective performance for image processing and computer vision tasks. The scope of JPEG Pleno Point Cloud Coding is similar but for 3D representations of visual information as point cloud.
In this talk we will provide an overview of JPEG AI and JPEG Pleno Point Cloud Coding activities, their current status and their roadmaps. Doing so, we will discuss potential applications that can be enabled thanks to them, and examine potential technologies which can become the backbone of such a standards.  


  • 12:00 am to 12:45 pm : Presentation
  • 12:45 pm to 13:30 pm : Lunch in the cafeteria

Registration :