Laboratory of Media Dynamics Laboratory (Haseyama Laboratory)

Graduate School of Information Science and Technology, Hokkaido University

Miki Haseyama

Miki Haseyama received her B.S., M.S. and Ph.D. degrees in Electronics from Hokkaido University, Japan in 1986, 1988 and 1993, respectively. She joined the Graduate School of Information Science and Technology, Hokkaido University as an associate professor in 1994. She was a visiting associate professor of Washington University, USA from 1995 to 1996. She is currently a professor in the Graduate School of Information Science and Technology, Hokkaido University. Her research interests include multimedia signal processing, covering image, audio, music, and video. She received the IEICE Best Paper Award in 2008. She has been has been a Vice-President of the Institute of Image Information and Television Engineers, Japan (ITE), an Editor-in-Chief of ITE Transactions on Media Technology and Applications, a Director, International Coordination and Publicity of The Institute of Electronics, Information and Communication Engineers (IEICE). Furthermore, she has been an Expert Member of the Information and Communication Council, MIC, Japan; a Member of the Research Council for Broadcast Technology, NHK; a Member of the Science Council of Japan; a Vice-President of ITE, Japan.

Welcome to the Laboratory of Media Dynamics!

As part of our research, we are focusing on accurately extracting the required information from a massive collection of content, quickly and precisely. In essence, we are creating multimedia systems for the next generation.

At the Laboratory of Media Dynamics, we are studying the human being’s audio-visual recognition mechanism. We achieve this through the construction of mathematical models examining the characteristics of multimedia signals. The spread of high-speed Internet and the increasing capacity of storage media have caused a rapid growth in the amount of multimedia signals around us, such as music, image and video. Our aim is to implement a system to efficiently extract the required information from the mass of information around us, and be able to transmit it. In order to achieve this, we are conducting research on a number of topics, for example:

- recognition systems based on human audio-visual recognition
- restoration algorithms
- next generation encoding methods
- and many others!

Furthermore, we are applying our research to the implementation of a next-generation multimedia system that understands music, images and video in similar ways to a human being. We hope that the results of our research will make a valuable contribution to the development of Science and Technology.

ogawa@lmd.ist.hokudai.ac.jp