AI-based compression of visual content: trends, challenges and opportunities

讲座名称：AI-based compression of visual content: trends, challenges and opportunities

讲座人：Giuseppe Valenzise 研究员

讲座时间：12月17日9:00-11:00

地点：北校区会议中心

讲座人介绍：

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-author 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.

Giuseppe Valenzise博士现任法国巴黎萨克雷大学中央理工学院信号与系统实验室（Laboratoire des Signaux et Systèmes）多媒体与网络团队负责人，同时是 Springer EURASIP《图像与视频处理》期刊主编。他于2011年在意大利米兰理工大学获得博士学位，研究兴趣涵盖图像和视频处理多个领域，包括传统和基于学习的图像和视频压缩、光场与点云编码、图像/视频质量评估、高动态范围成像，以及机器学习在图像和视频分析中的应用。他在这些领域发表了超过100篇学术论文，并于2018年获得了EURASIP青年学者奖。此外，他曾担任/正在担任IEEE《视频技术的电路与系统交易》、《图像处理交易》、以及Elsevier《信号处理：图像通信》期刊的副编辑。他是IEEE信号处理协会MMSP技术委员会主席以及IEEE电路与系统协会多媒体系统与应用技术委员会成员。

讲座内容：

深度学习和生成模型在视觉内容压缩中的广泛应用，包括二维图像、视频，以及三维点云等沉浸式内容的创新方法。

主办单位：通信工程学院