Bio: Prof. Ichiro Ide received his BEng, MEng, and PhD from The University of Tokyo in 1994, 1996, and 2000, respectively. He became an Assistant Professor at the National Institute of Informatics, Japan in 2000. Since 2004, he has been an Associate Professor, and since 2020, a Professor at Nagoya University. He was also a Visiting Associate Professor at National Institute of Informatics from 2004 to 2010, an Invited Professor at Institut de Recherche en Informartique et Systèmes Aléatoires (IRISA), France in 2005, 2006, and 2007, a Senior Visiting Researcher at ISLA, Instituut voor Informatica, Universiteit van Amsterdam from 2010 to 2011. His research interest ranges from the analysis and indexing to retargeting of multimedia contents, especially in large-scale broadcast video archives, mostly on news, cooking, and sports contents. He is a senior member of IEEE, IEICE and IPS Japan, and a member of JSAI, ITE, and ACM.
Challenges on Bridging the Gap between Vision and Language (V&L) information
The speaker has been working on multimedia contents analysis, mostly between Vision and Language (V&L) information for the past 25 years. Thanks to the recent advancement of visual information processing tools and the increase of available real-world data, it has become realistic to analyze the general relation between V&L information. This talk introduces two such attempts; 1) Controllable image captioning which quantifies the "Imageability" (psycholingustics concept) of words / sentences, and generates captions with different levels of imageability, and 2) Modeling the relation between human motion and mimetic words which allows to describe human gaits by mimetic words, and also generate human gaits from mimetic words. The speaker believes such work will lead to bridging the gap between V&L information.
Bio: DANIEL A. KEIM is full professor and head of the Information Visualization and Data Analysis Research Group in the Computer and Information Science Department of the University of Konstanz, Germany. He has been actively involved in data analysis and information visualization research for more than 25 years and developed a number of novel visual analysis techniques for large data sets. He has been program co-chair of the IEEE InfoVis and IEEE VAST as well as the ACM SIGKDD conference.
Dr. Keim got his Ph.D. and habilitation degrees in computer science from the University of Munich. Before joining the University of Konstanz, Dr. Keim was associate professor at the University of Halle, Germany and Senior Technology Consultant at AT&T Shannon Research Labs, NJ, USA.
Visual Analytics: The Role of Humans in Multimedia Data Analysis
Never before in history data is generated and collected at such high volumes as it is today. For the analysis of large multimedia data sets, there is trend to fully automate the data analysis process. In this talk, we argue that for the analysis to be effective, in many cases it is important to include the human in the data exploration process and combine the flexibility, creativity, and general knowledge of humans with the analytical capabilities of today's computers. Visual analytics seeks to integrate the human in the data analysis process, applying its abilities to the large data sets. Presenting data in an interactive, graphical form provides effective ways to understand and analyze the data, allowing novel discoveries and empowering individuals to take control of the analytical process.
In the visual analysis process, it is not obvious what can be done best by automated analysis and what should be done by interactive visual methods. In dealing with massive data, the use of automated methods is mandatory, but there is also a wide range of problems where the use of interactive visual methods is beneficial. The talk discusses the different roles of interactive visualization and automated analysis techniques and exemplifies them with several application examples, illustrating the exiting potential of current visual analysis techniques but also their limitations.
Bio: Dr. Sai-Kit Yeung is an Associate Professor at the Division of Integrative Systems and Design (ISD) and the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). His research interests include 3D vision and graphics, content generation, fabrication, and novel computational techniques and integrative systems for marine-related problems.
Dr. Yeung has published extensively in premiere computer vision and graphics venues including numerous full oral papers in CVPR, ICCV, and AAAI. His work has received best paper honorable mention awards at ICCP 2015 and 3DV 2016. He has served as a Senior Program Committee member in IJCAI and AAAI, and as a Course Chair for SIGGRAPH Asia 2019. In addition, he regularly serves as a Technical Papers Committee member for SIGGPAPH & SIGGRAPH Asia and is currently an Associate Editor of the ACM Transactions on Graphics (TOG).
Computer Vision and Graphics for Real-World Challenges
With the recent advancements in sensing technology and pervasive computing devices, the fields of computer vision and graphics are witnessing renewed importance in addressing real-world problems. In this talk, I will be discussing my research relating to 3D reconstruction, scene understanding, content generation, and fabrication. My talk will also overview ways this core research can be used in multidisciplinary projects involving city planning, seafloor surveying, and fishery design. I will conclude my talk by discussing potential collaborative projects between computer vision, graphics, and other disciplines to address challenging issues related to human empowerment and the building of sustainable environments.