Keyframe presentation for browsing of user-generated videos on map interfaces

Jia Hao, Guanfeng Wang, Beomjoo Seo, Roger Zimmermann
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引用次数: 13

Abstract

To present user-generated videos that relate to geographic areas for easy access and browsing it is often natural to use maps as interfaces. A common approach is to place thumbnail images of video keyframes in appropriate locations. Here we consider the challenge of determining which keyframes to select and where to place them on the map. Our proposed technique leverages sensor-collected meta-data which are automatically acquired as a continuous stream together with the video. Our approach is able to detect interesting regions and objects (hotspots) and their distances from the camera in a fully automated way. Meaningful keyframes are adaptively selected based on the popularity of the hotspots. Our experiments show very promising results and demonstrate excellent utility for the users.
在地图界面上浏览用户生成视频的关键帧演示
为了呈现与地理区域相关的用户生成视频,以便于访问和浏览,通常很自然地使用地图作为界面。一种常见的方法是将视频关键帧的缩略图放在适当的位置。在这里,我们考虑决定选择哪些关键帧以及在地图上放置它们的位置的挑战。我们提出的技术利用传感器收集的元数据,这些元数据与视频一起作为连续流自动获取。我们的方法能够以完全自动化的方式检测有趣的区域和物体(热点)及其与相机的距离。根据热点的受欢迎程度自适应选择有意义的关键帧。我们的实验显示了非常有希望的结果,并为用户展示了出色的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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