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
Unsupervised clustering of ambulatory audio and video
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Using location, bearing and motion data to filter video and system logs
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
The state of the art in image and video retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
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Digitization of lengthy personal experiences will be made possible by continuous recording using wearable video cameras. It is conceivable that the amount of video content that results will be extraordinarily large. In order to retrieve and browse the desired scenes, a vast amount of video needs to be organized using context information. In this paper, we develop a "Wearable Imaging System" that is capable of constantly capturing data, not only from a wearable video camera, but also from various sensors, such as a GPS, an acceleration sensor and a gyro sensor. The data from these sensors are analyzed using Hidden Markov Model (HMM) to detect various events for efficient video retrieval and browsing. Two kind of browsers are developed which are a chronological viewer and a location based viewer.