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The ContextCam: Automated Point of Capture Video Annotation

机译:ContextCam:捕获视频注释的自动点

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摘要

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.
机译:丰富,结构化的视频注释可实现有趣的用途,但现有的手动甚至半自动标记技术可能会非常耗时。我们在本文中介绍了ContextCam,这是一种家用摄像机的原型,它提供捕获点的时间,位置,人员在场以及与录制视频相关的事件信息的注释。低级和高级元数据都可以通过各种传感和主动标记技术来发现,也可以通过应用机器学习技术来发现,这些机器学习技术使用过去的注释为当前录制建议元数据。此外,ContextCam为用户提供了最小程度的干扰界面,用于在视频录制期间校正预测的高级元数据。

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