Wearable imaging system for summarizing personal experiences

Wearable imaging system for summarizing personal experiences
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用于总结个人经历的可穿戴成像系统

DOI:
10.1109/icme.2003.1220850
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发表时间:
2003
期刊:
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)
影响因子:
--
通讯作者:
K. Aizawa
K. Aizawa
中科院分区:
--
文献类型:
--
作者:
Y. Sawahata;K. Aizawa

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通过使用可穿戴式摄像机持续记录,可以将漫长的个人经历数字化。可想而知,由此产生的视频内容数量将非常大。为了检索和浏览所需的场景,需要用结构信息来组织大量视频。在这篇文章中,我们试图开发一种能够持续捕获数据的“可穿戴成像系统”,不仅可以从可穿戴式摄像机,还可以从各种传感器,如GPS,加速度计和陀螺仪传感器。利用隐马尔可夫模型(HMM)对来自这些传感器的数据进行适当的提取和处理,实现高效的视频检索和浏览。
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, such as a GPS, an accelerometer and a gyro sensor. The data from these sensors are appropriately extracted and processed by hidden Markov model (HMM) to achieve efficient video retrieval and browsing.
DOI: 10.1109/icip.2001.958135
发表时间: 2001-10
期刊: Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)
影响因子: --
作者:
K. Aizawa;Kenichiro Ishijima;Makoto Shiina
通讯作者: K. Aizawa;Kenichiro Ishijima;Makoto Shiina