Keynote Speech【3】

鄭文皇 副研究員

 

Associate Research Fellow, Academia Sinica, Taiwan
中央研究院資訊科技創新研究中心

 

Wen-Huang Cheng is an Associate Research Fellow (Associate Professor) with the Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, where he is the Founding Leader with the Multimedia Computing Laboratory (MCLab). Before joining Academia Sinica, he was a Principal Researcher with MagicLabs, HTC Corporation, Taoyuan, Taiwan, from 2009 to 2010. His current research interests include multimedia content analysis, multimedia big data, deep learning, computer vision, mobile multimedia computing, social media, and human computer interaction. He has received numerous research awards, including the 2015-2016 Presidential Achievement Award of Rotary International, the Outstanding Youth Electrical Engineer Award from the Chinese Institute of Electrical Engineering in 2015, the Top 10% Paper Award from the 2015 IEEE International Workshop on Multimedia Signal Processing, the Outstanding Reviewer Award from the 2015 ACM International Conference on Internet Multimedia Computing and Service, the Prize Award of Multimedia Grand Challenge from the 2014 ACM Multimedia Conference, the K. T. Li Young Researcher Award from the ACM Taipei/Taiwan Chapter in 2014, the Outstanding Young Scholar Awards from the Ministry of Science and Technology in 2014 and 2012, the Outstanding Social Youth of Taipei Municipal in 2014, the Best Reviewer Award from the 2013 Pacific-Rim Conference on Multimedia, and the Best Poster Paper Award from the 2012 International Conference on 3D Systems and Applications. He is APSIPA Distinguished Lecturer.

Topic: Intelligent Multimedia Computing and Its Applications

Multimedia is the biggest big data nowadays. It is serving as the most important and valuable source for insights and information. Exploring semantics from multimedia big data is thus an effective way to understanding the world. Intelligent multimedia computing has long been an active research field, with the goal to derive automatic methods for generating semantic descriptions and annotations of multimedia contents, so as to enable creative and interactive applications. In this talk, we will present an overview of research topics in intelligent multimedia computing as well as recent advances in the technological developments. Meanwhile, several application scenarios and the demonstrative prototypes developed in our lab will be showcased.