Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering
Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering
Department of Electrical Engineering and Computer Science, School of Engineering
In the Laboratory for Image and Media Understanding (LIMU), our goal is to establish a novel framework to (1) retrieve social information from observation data obtained with various sensors and (2) to create innovative content for the society by analyzing those data. While developing the tools necessary to build such a framework, we carefully design the algorithms so that anybody in the society can later interact with the cyber–physical world to improve analysis performances and users experience. In our research on video analysis techniques, we are developing fundamental techniques for understanding videos acquired from cameras, such as methods for detecting objects in the observation area and for detecting abnormal events. On the other hand, we also conduct analysis of educational big data such as students’ learning activities collected from digital textbook systems and learning management systems. The various educational data are analyzed to provide real-time feedback systems for visualizing student’s learning activities and teaching materials recommendation systems personalized for students individually. These results can be used to develop services leading to a more efficient and sophisticated society. Furthermore, in order to apply to new fields such as educational big data, we are also conducting research on the theory on models of computation for various phenomena in the nature and society.