The ContextCam: Automated Point of Capture Video Annotation
The ContextCam: Automated Point of Capture Video Annotation
复制标题
ContextCam：自动捕捉视频注释点
DOI：
10.1007/978-3-540-30119-6_18
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
G. Abowd
中科院分区：
文献类型：
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作者：
Shwetak N. Patel;G. Abowd
视频记录的丰富的结构化注释使有趣的用途成为可能，但现有的手动甚至半自动标记技术可能过于耗时。在本文中，我们提出的ContextCam，原型的消费者视频摄像机，提供捕获注释的时间点，位置，人员的存在和事件信息相关联的记录的视频。低级和高级元数据都是通过各种传感和主动标记技术发现的，以及通过应用机器学习技术，使用过去的注释来建议当前记录的元数据。此外，ContextCam为用户提供了一个最低限度的侵入性界面，用于在视频录制期间纠正预测的高级元数据。
Rich, structured annotations of video recordings enable interesting uses, but existing techniques for manual, and even semi-automated, tagging can be too time-consuming. We present in this paper the ContextCam, a prototype of a consumer video camera that provides point of capture annotation of time, location, person presence and event information associated to recorded video. Both low- and high-level metadata are discovered via a variety of sensing and active tagging techniques, as well as through the application of machine learning techniques that use past annotations to suggest metadata for the current recordings. Furthermore, the ContextCam provides users with a minimally intrusive interface for correcting predicted high-level metadata during video recording.