Scene Walk is a video viewing technique suited to first-person video recorded from wearable cameras. It integrates a 2D video player and visualisation of the camera trajectory into a non-photorealistic partial rendering of the 3D environment as reconstructed from image content. Applications include forensic analysis of first-person video archives, for example as recorded by emergency response teams. The Scene Walk method is designed to support the viewer’s construction and application of a cognitive map of the context in which first-person video was captured. We use methods from wayfinding research to assess the effectiveness of this non-photorealistic approach in comparison to actual physical experience of the scene. We find that Scene Walk does allow viewers to create a more accurate and effective cognitive map of first-person video than is achieved using a conventional video browsing interface and that this model is comparable to actually walking through the original environment.

Scene Walk是一种视频观看技术，适用于从可穿戴式摄像机录制的第一人称视频。它将2D视频播放器和摄像机轨迹的可视化集成到从图像内容中重建的3D环境的非真实感部分渲染中。应用包括对第一人称视频档案的取证分析，例如由应急小组记录的内容。Scene Walk方法旨在支持观看者构建和应用捕获第一人称视频的上下文的认知图。我们使用寻路研究中的方法来评估这种非照片级方法与现场实际物理效果相比的有效性。