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

講座人：Giuseppe Valenzise 研究員

講座時(shí)間：12月17日9:00-11:00

地點(diǎn)：北校區(qū)會(huì)議中心

講座人介紹：

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博士現(xiàn)任法國巴黎薩克雷大學(xué)中央理工學(xué)院信號(hào)與系統(tǒng)實(shí)驗(yàn)室（Laboratoire des Signaux et Systèmes）多媒體與網(wǎng)絡(luò)團(tuán)隊(duì)負(fù)責(zé)人，同時(shí)是 Springer EURASIP《圖像與視頻處理》期刊主編。他于2011年在意大利米蘭理工大學(xué)獲得博士學(xué)位，研究興趣涵蓋圖像和視頻處理多個(gè)領(lǐng)域，包括傳統(tǒng)和基于學(xué)習(xí)的圖像和視頻壓縮、光場(chǎng)與點(diǎn)云編碼、圖像/視頻質(zhì)量評(píng)估、高動(dòng)態(tài)范圍成像，以及機(jī)器學(xué)習(xí)在圖像和視頻分析中的應(yīng)用。他在這些領(lǐng)域發(fā)表了超過100篇學(xué)術(shù)論文，并于2018年獲得了EURASIP青年學(xué)者獎(jiǎng)。此外，他曾擔(dān)任/正在擔(dān)任IEEE《視頻技術(shù)的電路與系統(tǒng)交易》、《圖像處理交易》、以及Elsevier《信號(hào)處理：圖像通信》期刊的副編輯。他是IEEE信號(hào)處理協(xié)會(huì)MMSP技術(shù)委員會(huì)主席以及IEEE電路與系統(tǒng)協(xié)會(huì)多媒體系統(tǒng)與應(yīng)用技術(shù)委員會(huì)成員。

講座內(nèi)容：

深度學(xué)習(xí)和生成模型在視覺內(nèi)容壓縮中的廣泛應(yīng)用，包括二維圖像、視頻，以及三維點(diǎn)云等沉浸式內(nèi)容的創(chuàng)新方法。

主辦單位：通信工程學(xué)院