Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
StartleCam: A Cybernetic Wearable Camera
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
IEEE Spectrum
A System for Retrieval and Digest Creation of Video Data Based on Geographic Objects
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
PWS & PHA: posture web server and posture history archiver
Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
Video digest based on heart rate
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
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"We want to keep our entire life by video" is the motivation of this research. Recent development of wearable devices and huge storage devices will make it possible to keep entire life by video. We could capture 70 years of our life, however, the problem is how to handle such a huge data. Automatic summarization based on personal interest should be indispensable. In this paper we propose an approach to automatic structuring and summarization of wearable video. (Wearable video is our abbreviation of "video captured by a wearable camera"). In our approach, we make use of a wearable camera and a sensor of brain waves. Video is firstly structured by objective features of video, and the shots are rated by subjective measures based on brain waves. The approach was very successful for real world experiments and it automatically extracted all the events that the subjects reported they had felt interesting.