学者论坛:IEEE Fellow、都灵理工大学Enrico Magli副教授

文:教师发展中心 / 来源:人力资源部 / 2017-01-12 / 点击量:4555

  人力资源部教师发展中心开展“学者论坛”系列学术活动,定期邀请与我校教师研究领域相关的知名学者,以专题报告的形式与师生分享和研讨最新研究动态和成果,旨在为教师提供学术探讨和交流的平台,开拓教师学术视野。现将第50期论坛安排如下,欢迎广大师生参加。

  一、主讲人:IEEE Fellow、都灵理工大学副教授 Enrico Magli

  二、地 点:清水河校区经管大楼宾诺咖啡

  三、讲座内容

  讲座一:Advances in image/video compression using graph transforms

  时 间:2017年1月13日(周五)15:00

  内容简介:

  This talk describes recent developments in several areas of image and video compression employing new signal processing and computer vision techniques. After an initial discussion about the future of video compression, the talk will be centered around graph transforms. I will first address the design of graph transforms achieving very good compression efficiency on both piecewise-smooth and natural images, and their application to image compression and intra-frame video compression. Next, I will introduce a new video compression paradigm that replaces macro blocks with superpixels, and employs a graph transform to encode each super pixel. Finally, I will describe a new and very efficient transform, called “steerable” DCT, which is able to orient the DCT basis functions spatially and spectrally so as to adapt to directional features of the block being encoded.

  讲座二:Sparsity and compressive sensing for large-scale and distributed multimedia applications

  时 间:2017年1月17日(周二)15:30

  内容简介:

  This talk discusses applications of sparsity and compressive sensing to modern multimedia processing systems, focusing on large-scale and distributed information processing. I will first give a brief overview of sparsity and compressive sensing, and then survey a number of new results and applications to different scenarios. In particular, I will describe new algorithms for compressive sensing in the framework of distributed systems and sensor networks, the use of compressing sensing as an encryption layer, and the use of sparsity for indoors localization. Moreover, I will cover applications enabled by advanced hashing techniques based on sparsity and random projections, including  large-scale camera identification for image copyright protection in social networks.

  、主讲人简介

  Enrico Magli is currently at Politecnico di Torino, Italy. He is also President and co-founder of the ToothPic start-up company. His research interests are in the field of compressive sensing, image and video coding, computer vision and security. He has published over 60 journal papers and 140 conference papers in these areas. He is a Fellow of the IEEE, and has been an IEEE Distinguished Lecturer for 2015-2016. He is an associate editor of IEEE T-MM and EURASIP Journal on Image and Video Processing, and has been Associate Editor of T-CSVT. He is the current chair of Multimedia Signal processing technical committee of IEEE Signal Processing Society. He is a corecipient of the IEEE Geoscience and Remote Sensing Society 2011

  Transactions Prize Paper Award, of ICIP 2015 Best student paper award (3rd place) as senior author, and has received the 2010 and 2014 Best Associate Editor Award of IEEE Transactions on Circuits and Systems for Video Technology. He has been general co-chair of IEEE MMSP 2013 and IEEE ICME 2015, and TPC co-chair of IEEE MMSP 2011, IEEE ICME 2012, VCIP 2012 and VCIP 2014.

  、主办单位:人力资源部教师发展中心

     承办单位:电子工程学院  机器人研究中心


                    人力资源部教师发展中心

                      2017年1月12日


编辑:罗莎  / 审核:罗莎  / 发布者:林坤