Ikenaga Laboratory English Version

Research Objective

Ikenaga laboratory is aiming for a research on various kinds of image and video information systems and related system technologies for coming ubiquitous and ambient information society, where we can easily access any information at "anytime" and "anywhere" with "safe" and "comfortable".
The current principal targets are video compression and video filter & recognition. As for the compression, we mainly focus on H.265/HEVC (next generation standard) for super HDTV and a video transcoder for next generation TV conference systems. As for the filter & recognition, we are promoting research on Cloud based video search / recognition, super resolution / HDR filter for ultra-high resolution display and object tracking and feature detection algorithms for a surveillance camera and sports-scene analysis. We start the research from evaluation of key algorithm and then think out hardware architecture considering various factors, such as performance, low power and hardware size. Our final goal is creating a real-time embedded system or LSI in order to verify the usefulness of proposed ideas. Actually, we developed many FPGA based real-time demonstration systems and 27 LSI chips from 2004.
We are promoting many national projects, such as Grants-in-Aid for Scientific Research, Program for Leading Graduate Schools, Global COE, Core Research for Evolutional Science and Technology (CREST). We are also promoting industry academia collaborations with many companies and joint research with universities (e.g. Tsighua, Nanjing, Kogakuin).

Target Application

Image/Video information systems for ubiquitous and ambient society