Multimedia Computing for Intelligent Life
Recent advances in multimedia computing have opened many avenues for visual-based intelligent services that have the potential to support our daily “intelligent life”. These technological advances – which span a broad range of visual understanding tasks including object/action recognition, image/video search, video event detection, scene reconstruction, vision to language, and multimedia security – can facilitate a variety of multimedia analysis applications from visual identification of users to 3D city mapping and detecting child exploitation images/videos. Moreover, by harnessing the power of the cloud, computationally-intensive vision tasks have become increasingly accessible to ordinary users.
This special session aims at demonstrating how multimedia computing techniques has contributed, and are contributing to the emerging vision-based intelligent services. Particularly, we have witnessed an age that more innovative algorithms as well as systems are being developed to better understand and enhance multimedia signals regarding intelligent life for spirituality, for fun, and for leisure. Therefore, more novel approaches are required to bridge the gap between emerging Medias and smarter life for everyone. Still, it needs to be further explored how technologies from different multimedia computing areas can be used for more intelligent daily life. This session will focus on the latest developments in multimedia computing as well as research works on consumer services that they may enable for intelligent life. We are pleased to invite researchers from several communities (i.e., signal processing, machine learning, multimedia analysis, data mining, distributed and cloud computing, etc.) to share their insights and cutting-edge results.
Topics of Interest
Topics of interest include, but are not limited to:
- Social Media Analysis for Intelligent Life
- Multimedia Security and Privacy for Intelligent Life
- Visual Semantic Analysis for Intelligent Life
- Multimedia Browsing, Retrieval and Recommendation for Intelligent Life
- Big Data Storage and Management for Multimedia
- Cloud Computing for Intelligent Life
- Machine Learning and Pattern Recognition for Intelligent Life
- Multimodal Signal Representation and Visualization for Intelligent Life
- Real-world Applications of Multimedia Computing for Intelligent Life
Zhineng Chen, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Zhineng Chen is now an associate professor with the Institute of Automation, Chinese Academy of Sciences, Beijing, China. He received his B.S. and M.S. degrees in computer sciences from the College of Information Engineering, Xiangtan University, China, in 2004 and 2007, respectively, and the Ph.D. degree in computer science from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, in 2011. He was a senior research associate with the Department of Computer Science, City University of Hong Kong, in 2012, and was an assistant professor with the Institute of Automation, Chinese Academy of Sciences, Beijing, from 2012 to 2014. His research interests include large-scale multimedia information retrieval, machine learning and pattern recognition. He has published more than 20 papers in prestigious multimedia and related conferences including ACM Multimedia, ICMR, MMM, etc.
Wei Zhang, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
Wei Zhang is now an Assistant Professor in Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China. He received his Ph.D degree from Department of Computer Science in City University of Hong Kong, Hong Kong, China, in 2015. He received the B.Eng and M.Eng degrees from Tianjin University, Tianjin, China, in 2008 and 2010, respectively. Before joining Chinese Academy of Sciences, he was a visiting scholar in DVMM group of Columbia University, New York, NY, USA, in 2014. He was a former member of CV-lab in Tianjin University from 2008 to 2011. His research interests include large-scale visual instance search and mining, multimedia and digital forensic analysis. He has won the second placein TRECVID Instance Search task in 2012, the Best Demo Award in ACM-HK openday 2013. He is the PC/TPC member for ACM Multimedia’2016, ICMR’2015 and PCM’2013.
Ting Yao, Microsoft Research Asia, Beijing, China
Ting Yao is currently an associate researcher in the Multimedia Search and Mining group at Microsoft Research Asia, Beijing, China. His research interests include video analytics, large scale multimedia search, and deep learning. He completed a Ph.D. in computer science at the City University of Hong Kong in 2014. Dr. Yao is an active participant of several benchmark evaluations. The system designed by him achieved the second place in the THUMOS Action Recognition Challenge 2015. He was also the principal designer of the image retrieval systems that achieved the top performances in the MSR-Bing Image Retrieval Challenge2014 and 2013, respectively. He was awarded the 2015 SIGMM Outstanding Ph.D. Thesis Award. He also received the Best Paper Award in ACM ICIMCS 2013.
Kai-Lung Hua, National Taiwan University of Science and Technology, Taiwan
Kai-Lung Hua received the B.S. degree in electrical engineering from National Tsing Hua University in 2000, and the M.S. degree in communication engineering from National Chiao Tung University in 2002, both in Hsinchu, Taiwan. He received the Ph.D. degree from the School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, in 2010. Since 2010, Dr. Hua has been with National Taiwan University of Science and Technology, where he is currently an associate professor in the Department of Computer Science and Information Engineering. He is a member of Eta Kappa Nu and Phi Tau Phi, as well as a recipient of MediaTek Doctoral Fellowship. His current research interests include digital image and video processing, computer vision, and multimedia networking. He has received several research awards, including the Top 10% Paper Award of the 2015 17th IEEE International Workshop on Multimedia Signal Processing (MMSP), Honorary Mention of the 2015 20th Annual Taiwan Joint Cancer Conference Poster Competition, the Second Award of the 2014 ACM Multimedia Grand Challenge, the Best Paper Award of the 2013 IEEE International Symposium on Consumer Electronics, and the Best Poster Paper Award of the 2012 International Conference on 3D Systems and Applications.
Wen-Huang Cheng, Academia Sinica, Taiwan
Wen-Huang Cheng received the B.S. and M.S. degrees in computer science and information engineering from National Taiwan University, Taipei, Taiwan, in 2002 and 2004, respectively, where he received the Ph.D. (Hons.) degree from the Graduate Institute of Networking and Multimedia in 2008. He is an Associate Research Fellow with the Research Center for Information Technology Innovation(CITI), Academia Sinica, Taipei, Taiwan, where he is the Founding Leader with the Multimedia Computing Laboratory (MCLab), CITI, and an Assistant Research Fellow with a joint appointment in the Institute of Information Science. 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 2015-2016Presidential 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 the2015 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.