Image Information Processing
Kitamoto Laboratory focuses on the "image" data, and studies various methodologies for the better handling of image data. That is, we try to establish framework for solving problems of image analysis, image databases and image retrieval based on the theory of databases and probabilistic models. We, in addition, extend our research from the viewpoint of image information processing into other disciplines such as earth science information, cultural information and biological information, and it is our aim to discover new areas of research through these kinds of transdisciplinary research.
Taking Advantage of Massive Data
Thanks to the development of sensor technology and the decrease of cost for archiving and retrieving data, in recent years, massive amount of data is generated and used everyday in various academic disciplines. Research in the future depends heavily on how to use these huge-scale databases effectively. This motivates us to study new methodologies for the series of steps from the construction of databases to searching and mining from databases in various disciplines such as earth science, biology, and humanities.
eScience and eHeriage Information Infrastructure
All research activities are getting more and more dependent on information infrastructure of the Internet, so we are building research infrastructure to use Web as a platform, and making it accessible to many people across sciences and humanities. The following Websites are the examples of our effort.
More information can be found on following pages.
Some software developed in the projects are open to the public.
The following is the list of pages in which new articles appear irregularly.
The following pages provides Introductory videos for demonstrating research results.
Twitter accounts for notifying the update of data.
Facebook pages for providing news.
KITAMOTO Laboratory can accept graduate students (Graduate University for Advanced Studies (Sokendai)) who are willing to do research with us. If you are interested in related topics, such as image-related research in a broad sense, or if you want to play with real scientific data to discover and solve unknown phenomena, please feel free to contact me. Graduate students can be also accepted as internship students.