Scene Walk: a non-photorealistic viewing tool for first-person video
Publication Date
2021-12Journal Title
Virtual Reality
ISSN
1359-4338
Publisher
Springer Science and Business Media LLC
Volume
25
Issue
4
Pages
1171-1191
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Wang, X., Blackwell, A., Jones, R., & Nguyen, H. (2021). Scene Walk: a non-photorealistic viewing tool for first-person video. Virtual Reality, 25 (4), 1171-1191. https://doi.org/10.1007/s10055-021-00523-4
Abstract
<jats:title>Abstract</jats:title><jats:p>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.</jats:p>
Keywords
Original Article, First-person video, Body-worn camera, Video viewing, 3D scene reconstruction, Camera trajectory, Cognitive Map
Identifiers
s10055-021-00523-4, 523
External DOI: https://doi.org/10.1007/s10055-021-00523-4
This record's URL: https://www.repository.cam.ac.uk/handle/1810/329720
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
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