Data Fragment: Virtual Reality for Viewing and Querying Large Image Sets
Date
2017
Authors
Teo, Theophilus
Norman, Mitchell
Adcock, Matt
Thomas, Bruce
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Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
This paper presents our new Virtual Reality (VR) interactive visualization techniques to assist users querying large image sets. The VR system allows users to query a set of images on four different filters such as locations and keywords. The goal is to investigate if a VR platform is preferred over a non-VR platform for viewing and querying large image sets. We employed an HTC Vive and a traditional desktop screen to represent VR and non-VR platforms. We found users preferred the VR platform over the traditional desktop screen.
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Keywords
H.5.1 [Multimedia Information Systems]: Artificial, augmented, and virtual realities
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Source
Proceedings - IEEE Virtual Reality
Type
Conference paper
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Restricted until
2099-12-31
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