Abstract:Mediaspaces have been designed to facilitate informal communication and support group awareness while assuring privacy protection. However, low bandwidth communication is a source of undesirable discontinuities in such systems, resulting in a loss of peripheral awareness. In addition, privacy is often implemented as an accessibility matrix coupled to an all-or-nothing exposure of personal state. In this article, we describe CoMedi, a mediaspace prototype that addresses the problem of discontinuity and pri vacy in an original way: computer vision and speech recognition are used in conjunction to minimize visual discontinuities while supporting free movements in a room. Publication filters maintain privacy at the desired level of transparency.

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CoMedi is a mediaspace prototype that uses computer vision to provide new solutions to the problems of visual discontinuity and privacy. CoMedi includes a robust face tracker based on cooperation of multiple vision techniques, a tele-exploration tool based on a multi-resolution fovea, and new privacy filter using eigen-space coding.

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