Capture and Efficient Retrieval of Life Log

In ``Wearable computing'' environments, digitization of personal experiences will be made possible by continuous recording using a wearable video camera. This could lead to ``automatic life-log application''. It is evident that the resulting amount of video content will be enormous. Accordingly, to retrieve and browse desired scenes, a vast quantity of video data must be organized using structural information. In this paper, we are developing a ``contextbased video retrieval system for life-log applications''. This system can capture not only video and audio but also various sensor data and provides functions that make efficient video browsing and retrieval possible by using data from these sensors, some databases and various document data.