Kazumasa Murai, Dr.![]() Kazumasa Murai is receiving Doctoral degree in computer science (PhD) from Chukyo University in 2006. I was a researcher with Fuji Xerox (1989-2000), with ATR Spoken Language Translation Laboratories (2000-2002), with FXPAL Japan, Fuji Xerox from 2002. I am currently a senior researcher at FXPAL Japan, Fuji Xerox Co., Ltd. and a researcher at Institute for Advanced Studies in Artificial Intelligence, Chukyo University. Born in July 28th, 1960, 45 year old male. Research Topics
HonorsBest research award from Imaging Society of Japan in 1995 (first author) Best paper award from Imaging Society of Japan in 1996 (first author) Odawara award from Japan Society of Mechanical Engineers in 2005 (coauthor) Major fruits of my researchThe most recent work is turn taking mediation system gAnticipatorh for the teleconferencing, which notifies the start and end of remote speech in advance, to reduce the speech collisions induced by the signal latency. One interesting point is that although the improvement is not so great, all of the examiners want to use the system because the system does not require any operation, yet helps the user to certain extent. This operation free user-interface is a natural outcome of my colleague and my standpoint as ordinary audiences of our own technologies. Visual modality speech prediction is based on a fact that human form speech organs for articulation of the first phoneme prior to the speech. I have verified that people actually take advantage of this visual cue for smooth turn-taking. I have introduced very fist system that detects this precursor for the speech prediction. Time backward multiple face tracking is also based on a very simple idea, which tracks faces (or any objects) in a video sequence against the timeline to recover more facial locations. I also researched on accurate color transformation methods based on neural network. The basic idea is very simple, and I tried to formulate primitive phenomenon by simple mathematics , and that simple method drastically improved the color accuracy. I also invented an analog neural network for extremely fast color transformation. Although it is based on a relatively complex nonlinear circuit technology, the circuit itself is extremely simple. Although my research results not always archived drastic improvement, I am always trying the idea to be used by reducing the user interface. Publications and patentsFull paper (as a first author)
Full paper (as a second or latter author)
International Conferences (as a first author)
United States Patents (as a first author)
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