报告主题： AI-based compression of visual content: trends, challenges and opportunities
报告人：Dr. Giuseppe Valenzise
时间：2024年12月23日 15:00
地点：北京大学王选计算机研究所106报告厅
Abstract: In the past few years, the emergence of deep representation learning and generative models has led to significant advances in the fields of visual information content compression, including traditional 2D image and videos and more recent immersive formats such as light fields and 3D point clouds. In this talk, I will present some recent approaches for coding 2D and 3D content. In particular, I will detail some recent deep learning-based coding schemes for 3D point clouds, as well as ongoing work on generative face video coding (GFVC). I will conclude with current open problems and challenges in the field to stimulate discussion.
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Bio: Dr. Giuseppe Valenzise is a CNRS researcher at Laboratoire des Signaux et Systèmes, at CentraleSupelec and Université Paris-Saclay, France, where he is the head of the Multimedia and Networking team. He is the Editor in Chief of the Springer EURASIP Journal on Image and Video Processing. Giuseppe obtained his PhD from Politecnico di Milano, Italy, in 2011. 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 has co-authored more than 100 research publications in these domains. 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 the Chair of the MMSP technical committee of the IEEE Signal Processing Society and a member of the Multimedia Systems and Application technical committee of IEEE Circuits and Systems Society.
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