Infotech Oulu Lecture Series
Lecturer: FiDiPro Professor Xilin Chen, Chinese Academy of Sciences, China
Date: Friday, February 12, 2016
Large-scale content-based image retrieval is a challenge problem in computer vision. In this talk, I will present some recent works on image retrieval. We model the retrieval as a measure similarity in high dimensional semantic space. A real world retrieval task usually contains requirements from many aspects. To embed both appearance and semantic similarity in retrieval, we propose to learn the binary code which encodes identity and semantic attributes simultaneously. The basic idea is combined with both handcraft feature and CNN-learned feature. Different combination of training and code generations are compared. Extensive experiments are conducted on both face and general image sets. The results on these datasets show the promising performance.
Xilin Chen received the B.S., M.S., and Ph.D. degrees in computer science from the Harbin Institute of Technology, Harbin, China, in 1988, 1991, and 1994, respectively. He was a professor with the Harbin Institute of Technology from 1999. He has been a professor with the Institute of Computing Technology, Chinese Academy of Sciences (CAS), since August 2004. He is the Director of the Key Laboratory of Intelligent Information Processing, CAS. He is currently Fidipro Professor in Center for Machine Vision and Signal Analysis (CMVS). He has published one book and over 200 papers in refereed journals and proceedings in the areas of computer vision, pattern recognition, image processing, and multimodal interfaces. He is a leading editor of the Journal of Computer Science and Technology, and an associate editor in chief of the Chinese Journal of Computers. He served as an Organizing Committee / Program Committee Member for more than 60 conferences. He is a recipient of one China's State Natural Science Award (2015) and four China's State Scientific and Technological Progress Awards (2012, 2005, 2003, and 2000). He is a Fellow of IEEE and CCF.
More information: Guoying Zhao
Last updated: 10.2.2016