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Large Scale Video Management Using Spatial Metadata and Their Applications

机译:使用空间元数据及其应用程序的大规模视频管理

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Recently, there has been research to utilize spatial metadata of videos for the management of large numbers of videos. For example, the location of a camera from GPS and the viewing direction from an embedded digital compass are captured at the recording time so that they form the field of view (FOV) model for the coverage of a viewable scene. These spatial metadata effectively convert the challenging video search problem to well known spatial database problems, which can greatly enhance the utility of collected videos in many emerging applications. However, there are still many open fundamental research questions in utilizing spatial metadata for data collection, indexing, searching, etc., especially in the presence of a large video dataset, as well as more sophisticated questions such as whether a video database search can accommodate human friendly views.
机译:最近,已经研究了利用视频的空间元数据来管理大量视频。例如,在录制时间捕获来自GPS的相机和来自嵌入式数字罗盘的观看方向的相机的位置,使得它们形成可视场景的覆盖范围的视野(FOV)模型。这些空间元数据有效地将具有挑战性的视频搜索问题转换为着名的空间数据库问题,这可以大大提高许多新兴应用中收集视频的效用。然而,利用数据收集,索引,搜索等的空间元数据仍然存在许多开放的基本研究问题,特别是在存在大型视频数据集的情况下,以及更复杂的问题,例如视频数据库搜索是否可以容纳人类友好的观点。

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