Data fragment: Virtual reality for viewing and querying large image sets
Note: We don't have the ability to review paper
PubDate: April 2017
Teams: University of South Australia
Writers: Theophilus Teo; Mitchell Norman; Matt Adcock; Bruce H. Thomas
PDF: Data fragment: Virtual reality for viewing and querying large image sets
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.
