Summarizing wearable video
Summarizing wearable video
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DOI：
10.1109/icip.2001.958135
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发表时间：
2001-10
期刊：
影响因子：
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通讯作者：
K. Aizawa;Kenichiro Ishijima;Makoto Shiina
中科院分区：
文献类型：
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作者：
K. Aizawa;Kenichiro Ishijima;Makoto Shiina
“我们想用视频记录我们的整个生活”是这项研究的动机。开发可穿戴设备和大型存储设备将使视频保持整个生活成为可能。我们可以捕捉到我们70年的生活，然而，问题是如何处理如此庞大的数据量。应该要求基于个人兴趣的自动摘要。在本文中，我们提出了一种方法，可穿戴视频的自动结构和摘要。（可穿戴视频是我们对“可穿戴摄像头捕获的视频”的缩写。在我们的方法中，我们使用可穿戴相机和脑电波传感器。首先根据视频的客观特征对视频进行结构化，然后根据脑电波对镜头进行主观评价。该方法在真实的世界实验中非常成功，它自动提取了受试者报告的所有他们感兴趣的事件。
"We want to record our entire life by video" is the motivation of this research. Developing 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 amount of data. Automatic summarization based on personal interest should be required. In this paper we propose an approach to the 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. The video is firstly structured by objective features of video, and the shots are rated by subjective measures based on brain waves. The approach is very successful for real world experiments and it automatically extracted all the events that the subjects reported they had felt interesting.