讲座主题： Big Data Better Life
讲座摘要：We live in the age of big data. The biggest big data is big visual data, which includes images and other associated information. The biggest challenge is to develop effective computational methods for making sense of such massive visual data. Unlike text which is clean, segmented, compact, one dimensional and indexable, visual content is noisy, unsegmented, high entropy and multidimensional. In this talk, we present a few recent advances towards the ultimate goal of using big data, in particular large-scale and rich multi-modality data, to achieve robust intelligence in order to understand and improve life in terms of healthcare, well-being, politics, business, infotainment, and so on.
演讲人简介：Professor Jiebo Luo joined the University of Rochester (UR) in 2011 after a prolific career of over fifteen years at Kodak Research Laboratories. He has been involved in numerous technical conferences, including serving as the program co-chair of ACM Multimedia 2010, IEEE CVPR 2012, and IEEE ICIP 2017. He has served as the Editor-in-Chief of the Journal of Multimedia, and on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),Pattern Recognition, Machine Vision and Applications, and Journal of Electronic Imaging. He is a Fellow of the SPIE, IEEE, and IAPR. He is a Data Science Distinguished Researcher with the CoE Goergen Institute for Data Science (IDS) at UR.