Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2021
Abstract
An increasingly popular way of experiencing remote places is by viewing 360° virtual tour videos, which show the surrounding view while traveling through an environment. However, finding particular locations in these videos can be difficult because current interfaces rely on distorted frame previews for navigation. To alleviate this usability issue, we propose Route Tapestries, continuous orthographic-perspective projection of scenes along camera routes. We first introduce an algorithm for automatically constructing Route Tapestries from a 360° video, inspired by the slit-scan photography technique. We then present a desktop video player interface using a Route Tapestry timeline for navigation. An online evaluation using a target-seeking task showed that Route Tapestries allowed users to locate targets 22% faster than with YouTube-style equirectangular previews and reduced the failure rate by 75% compared to a more conventional row-of-thumbnail strip preview. Our results highlight the value of reducing visual distortion and providing continuous visual contexts in previews for navigating 360°virtual tour videos.
Keywords
360° Video, Navigation, Virtual Tour
Discipline
Graphics and Human Computer Interfaces
Research Areas
Information Systems and Management
Publication
UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, Virtual Conference, 2021 October 10-14
First Page
223
Last Page
238
ISBN
9781450386357
Identifier
10.1145/3472749.3474746
Publisher
ACM
City or Country
New York, NY, USA
Citation
LI, Jiannan; LYU, Jiahe; SOUSA, Maurício; BALAKRISHNAN, Ravin; TANG, Anthony; and GROSSMAN, Tovi.
Route tapestries: Navigating 360° virtual tour videos using slit-scan visualizations. (2021). UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, Virtual Conference, 2021 October 10-14. 223-238.
Available at: https://ink.library.smu.edu.sg/sis_research/7963
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3472749.3474746