Presentation | 2002/11/8 Wearable Imaging System : Detecting Events from Sensor Information Yasuhito SAWAHATA, Kiyoharu AIZAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Digitization of lengthy personal experiences would be made possible by constant recording using wearable video cameras. It is conceivable that the resulting amount of video content would be extraordinarily large. In order to retrieve and browse the desired scenes, a vast amount of video would need to be organized with structural information. In this paper, we attempt to develop a "Wearable Imaging System" that is capable of constantly capturing data, not only from a wearable video camera, but also from various kinds of sensors. The data from these sensors are appropriately extracted and processed by Hidden Markov Model (HMM) to achieve efficient video retrieval and browsing. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Wearable / Event Detection / Sensor / Indexing |
Paper # | MoMuC2002-70 |
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Committee | MoMuC |
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Conference Date | 2002/11/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Mobile Multimedia Communications(MoMuC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Wearable Imaging System : Detecting Events from Sensor Information |
Sub Title (in English) | |
Keyword(1) | Wearable |
Keyword(2) | Event Detection |
Keyword(3) | Sensor |
Keyword(4) | Indexing |
1st Author's Name | Yasuhito SAWAHATA |
1st Author's Affiliation | Department of Frontier Informatics, University of Tokyo() |
2nd Author's Name | Kiyoharu AIZAWA |
2nd Author's Affiliation | Department of Frontier Informatics, University of Tokyo |
Date | 2002/11/8 |
Paper # | MoMuC2002-70 |
Volume (vol) | vol.102 |
Number (no) | 443 |
Page | pp.pp.- |
#Pages | 6 |
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