Multimedia Computing and Machine Learning Group

School of Integrated Technology, Yonsei University

Jong-Seok Lee received his Ph.D. in electrical engineering from KAIST, Korea, in 2006, where he also worked as a postdoctoral researcher and an adjunct professor. From 2008 to 2011, he worked as a research scientist at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. Currently, he is an associate professor at the School of Integrated Technology, Yonsei University, Korea. His research interests include multimedia signal processing and machine learning. He is author or co-author of over 100 publications. He is a senior member of IEEE.

The amount of multimedia data (including images, videos, music, speech, etc.) has been exploding around us. Since multimedia data are ultimately consumed by human users, how to process and manage such data in the viewpoint of humans is an important research issue. Toward human-centered multimedia services, we work on developing multimedia processing technologies based on human perceptual mechanisms, including perceptual quality evaluation, image/video analysis, content recommendation, image/video enhancement, mobile video transmission, etc. Implementation of multimedia processing techniques often requires human-like computing. In particular, we conduct research on machine learning, which mimics humans' capability of learning generalized knowledge from examples. Topics include neural networks, deep learning, multimodal data learning, bio-inspired stochastic optimization, etc.

jong-seok.lee@yonsei.ac.kr