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Videoscapes: Exploring Sparse, Unstructured Video Collections

机译:Videoscapes:探索稀疏,非结构化的视频收藏

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The abundance of mobile devices and digital cameras with video capture makes it easy to obtain large collections of video clips that contain the same location, environment, or event. However, such an unstructured collection is difficult to comprehend and explore. We propose a system that analyzes collections of unstructured but related video data to create a Videoscape: a data structure that enables interactive exploration of video collections by visually navigating C spatially and/or temporally C between different clips. We automatically identify transition opportunities, or portals. From these portals, we construct the Videoscape, a graph whose edges are video clips and whose nodes are portals between clips. Now structured, the videos can be interactively explored by walking the graph or by geographic map. Given this system, we gauge preference for different video transition styles in a user study, and generate heuristics that automatically choose an appropriate transition style. We evaluate our system using three further user studies, which allows us to conclude that Videoscapes provides significant benefits over related methods. Our system leads to previously unseen ways of interactive spatio-temporal exploration of casually captured videos, and we demonstrate this on several video collections.
机译:带有视频捕获功能的大量移动设备和数码相机使获取包含相同位置,环境或事件的大量视频片段变得容易。但是,这样一个非结构化的集合很难理解和探索。我们提出了一种系统,该系统分析非结构化但相关的视频数据的集合以创建Videoscape:一种数据结构,该结构通过在不同剪辑之间在视觉上在空间和/或时间上C进行视觉导航来实现对视频集合的交互式探索。我们会自动识别过渡机会或门户。从这些门户网站,我们构建Videoscape,这是一个图形,其边缘是视频剪辑,其节点是剪辑之间的门户。现在结构化了,可以通过走动图表或地理地图来交互式地浏览视频。使用此系统,我们可以在用户研究中评估对不同视频过渡样式的偏好,并生成自动选择适当过渡样式的启发式方法。我们使用另外三个用户研究评估了我们的系统,这使我们可以得出结论,Videoscapes比相关方法具有明显优势。我们的系统导致了以前看不见的对随便捕获的视频进行交互式时空探索的方式,我们在一些视频集上对此进行了演示。

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