With vast amounts of multimedia data now widely accessible, understanding spatial and/or temporal phenomena has become essential for numerous applications, driving the need for advanced techniques in processing, analyzing, searching, mining, and managing such data.
The 9th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2026) will be held in Bangkok, Thailand, 9–11 August 2026. It offers a premier forum for presenting original research and practical advances in the design, implementation, and application of multimedia information processing and retrieval. The congress convenes university researchers, scientists, industry professionals, software engineers, and graduate students for a four-day program that blends a flagship technical track with keynote speeches, workshops, demonstrations, posters, tutorials, and panels.
The Organizing Committee members of the conference look forward to welcoming you in person in Bangkok in August 2026.
General Co-Chairs:
Paisarn Muneesawang, Mahidol University, Thailand
Supavadee Aramvith, Chulalongkorn University, Thailand
Jianquan Liu, NEC Corporation, Japan
Iole Moccagatta, Intel Corporation, USA
Ivan Lee, Adelaide University, Australia
Honorary Co-Chairs:
Shu-Ching Chen, University of Missouri–Kansas City, USA
Ling Guan, Toronto Metropolitan University, Canada
We can't wait to see you in the Land of Smiles!
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Toronto Metropolitan University, Canada
Dr. Ling Guan received his Ph.D. Degree from University of British Columbia, Canada. From 1992 to 2001, he was on the Faculty of Engineering, University of Sydney, Australia. Dr. Guan served as a Tier I Canada Research Chair in Multimedia and Computer Technology and a Professor of Electrical and Computer Engineering at Ryerson University/Toronto Metropolitan University, Toronto, Canada, as well as the founding director of Ryerson/TMU Multimedia Research Lab. Dr. Guan has been working on image, video and multimedia signal processing, human-computer interaction, pattern recognition and machine intelligence, and published extensively in the field. Recently, Dr. C.-C. Jay Kuo of University of Southern California and Dr. Guan jointly initiated Learning beyond Deep Learning to pave the way for new machine learning research which has drawn the attention of many colleagues in academia and industry. Dr. Guan served on half a dozen editorial boards of IEEE Transactions and Magazines and chaired the 2006 IEEE International Conference on Multimedia and Expo in Toronto. He played the leading role in the inauguration of IEEE Pacific-Rim Conference on Multimedia in 2000 and served as the Founding General Chair. Dr. Guan is a Life Fellow of the IEEE, a Fellow of the Canadian Academy of Engineering and the Engineering Institute of Canada. He is an IEEE Circuits and System Society Distinguished Lecturer and a recipient of the 2005 IEEE Transactions on Circuits and Systems for Video Technology Best Paper Award. Dr. Guan is the awardee of the 2014 IEEE Canada C.C. Gotlieb Medel for his contributions to computer science and engineering.
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Keio University, Japan
Hideo Saito received his Ph.D. in Electrical Engineering from Keio University, Japan, in 1992. He has been a faculty member at Keio University since then and has served as a Full Professor since 2006. From 1997 to 1999, he was a Visiting Researcher at the Robotics Institute, Carnegie Mellon University, contributing to the pioneering "Virtualized Reality" project. He currently holds key academic leadership positions at Keio University, serving as the Chair of the School of Informatics, Management, and Human Sciences in the Graduate School of Science and Technology, as well as a Group Leader at the AI Computing and Research Center within the Keio University Global Research Institute (KGRI).
National University of Singapore, Singapore
Professor Mohan Kankanhalli, Director of NUS AI Institute, currently holds the distinguished position of Provost’s Chair Professor of Computer Science. He is also the Deputy Executive Chairman (Talent) of AI Singapore, which is Singapore's national AI R&D program. He was formerly the Dean of NUS School of Computing during 2016-2022. Before becoming the Dean, he was the NUS Vice Provost (Graduate Education) during 2014-2016 and Associate Provost (Graduate Education) during 2011-2013. Earlier, he was the Vice-Dean for Academic Affairs & Graduate Studies at the NUS School of Computing during 2008-2010 and Vice-Dean for Research during 2001-2007.
University of Maryland, Baltimore County (UMBC), USA
Tülay Adali received the Ph.D. degree in Electrical Engineering from North Carolina State University, Raleigh, NC, USA, in 1992 and joined the faculty at the University of Maryland Baltimore County (UMBC), Baltimore, MD, the same year. She is currently a Distinguished University Professor in the Department of Computer Science and Electrical Engineering at UMBC and is the director of the Machine Learning for Signal Processing Lab (MLSP Lab).
April 30, 2026 (AoE)
May 31, 2026 (AoE)
June 17, 2026 (AoE)
August 9–11, 2026