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We live in a social world. No matter in the real space or in the cyberspace, humans are social animals. That means, when we interact with others, we continuously give and receive “social signals”. Social signals are generated not only from our verbal behaviors but also nonverbal behaviors, e.g., the gestures we make and the way we sit. From the sociological viewpoint, the nonverbal behaviors can be arguably having more expressive power than the verbal behaviors, since they keep sending strong messages even when we stop speaking. Therefore, exploring semantics from people’s social signals, especially the nonverbal behaviors, is an effective way to understanding humans and human interactions. In addition to human-human interactions, humans interact with the environment. For example, human actions can be recognized from visual analytics by modelling human-object interactions. Thus, in this talk, Prof. Wen-Huang Cheng will give an overview of selected research projects he has done about sociological understanding of humans and human interactions in the past few years. Practical scenarios will be showcased to demonstrate how the visual analytics can benefit the development of creative applications to improve the human’s multimedia life.
Wen-Huang Cheng is an 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 2016 Y. Z. Hsu Scientific Paper Award, 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.
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical
Engineering. All rights reserved.
Made by PRESSCAT
