Nowadays people produce a huge number of images and videos, many of which are uploaded to the Internet on social media sites. There is a strong need to develop automatic solutions for analyzing the contents of these images and videos. Potential applications of such techniques include effective video content management, retrieval and recommendation, video surveillance, etc. In this talk, I will introduce our recent works on image and video content analysis. I will start by introducing a few recently constructed Internet video datasets. After that I will introduce several recent approaches developed by our team, with a focus on deep learning based methods tailored for image and video analysis. Xiangyang XUE received the B.S., M.S., and Ph.D. degrees from the Xidian University, Xi’an, China, in 1989, 1992, and 1995, respectively, all in information and communication engineering. He is currently a Professor with the School of Computer Science, Fudan University. His research interests include computer vision, video analysis and deep learning, and he has co-authored about 200 technical papers, as well as more than 20 granted patents. He serves as an Associate Editor for IEEE Transaction on Cognitive and Developmental Systems, Journal of Computer Research and Development and Journal of Frontiers of Computer Science & Technology.
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