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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. Values of Databases
Kitamoto Laboratory also focuses on research topics for improving the values of databases. Thanks to the development of sensor technology and the decrease of cost for archiving and retrieving data, in recent years, the huge amount of data is generated and used everyday in various disciplines of science. 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. Outreach
We also believe that our active involvement into the publication of research results is indispensable for returning our work to society, and this is why we set up Websites for the publication of data to the public. The following Websites exemplify our effort.
Detail
More information can be found on following pages.
In addition to above, Keeping Track of MTSAT! is a half-private blog. |
Keywords
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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.
We are also willing to start collaborative research, and the following topics are requested for the year 2006. More information can be found at research cooperation division.
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