Taking Lifelog Videos and Managing Impressive Scenes

Atsushi Morikuni, Hiroki Nomiya, T. Hochin
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引用次数: 4

Abstract

For the purpose of retrieving impressive scenes from lifelog videos based on facial expression recognition, an effective equipment to take facial videos is developed in this paper. The important advantage of this equipment is that it is able to take facial videos without excessive fatigue. In addition, we implemented an emotional scene management system. It provides the functions to store facial videos to a video database and to retrieve and display emotional scenes through Web browsers. In order to measure the retrieval performance of emotional scenes, a retrieval experiment was conducted. It was experimentally shown that about 78.6% of the emotional scenes were retrieved successfully.
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拍摄生活日志视频和管理令人印象深刻的场景
为了从基于面部表情识别的生活日志视频中提取令人印象深刻的场景,本文开发了一种有效的面部视频采集设备。该设备的重要优点是它能够在不过度疲劳的情况下拍摄面部视频。此外,我们还实现了一个情感场景管理系统。它提供了将面部视频存储到视频数据库以及通过Web浏览器检索和显示情感场景的功能。为了衡量情感场景的检索性能,进行了检索实验。实验表明,约78.6%的情感场景被成功检索。
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