Data Fragment: Virtual Reality for Viewing and Querying Large Image Sets

dc.contributor.authorTeo, Theophilus
dc.contributor.authorNorman, Mitchell
dc.contributor.authorAdcock, Matt
dc.contributor.authorThomas, Bruce
dc.coverage.spatialLos Angeles, USA
dc.date.accessioned2021-06-03T04:03:10Z
dc.date.createdMarch 18-22 2017
dc.date.issued2017
dc.date.updated2020-11-23T10:23:49Z
dc.description.abstractThis 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.en_AU
dc.description.sponsorshipThis work was supported in part by scholarships from CSIRO Data61.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn9781509066476en_AU
dc.identifier.urihttp://hdl.handle.net/1885/236610
dc.language.isoen_AUen_AU
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)en_AU
dc.relation.ispartofseries19th IEEE Virtual Reality, VR 2017en_AU
dc.rights© 2017 IEEEen_AU
dc.sourceProceedings - IEEE Virtual Realityen_AU
dc.subjectH.5.1 [Multimedia Information Systems]: Artificial, augmented, and virtual realitiesen_AU
dc.titleData Fragment: Virtual Reality for Viewing and Querying Large Image Setsen_AU
dc.typeConference paperen_AU
local.bibliographicCitation.lastpage328en_AU
local.bibliographicCitation.startpage327en_AU
local.contributor.affiliationTeo, Theophilus, University of South Australiaen_AU
local.contributor.affiliationNorman, Mitchell, University of South Australiaen_AU
local.contributor.affiliationAdcock, Matt, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationThomas, Bruce, University of South Australiaen_AU
local.contributor.authoruidAdcock, Matt, u9609823en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor080104 - Computer Visionen_AU
local.identifier.ariespublicationa383154xPUB7698en_AU
local.identifier.doi10.1109/VR.2017.7892309en_AU
local.identifier.scopusID2-s2.0-85018396352
local.publisher.urlhttps://www.ieee.org/en_AU
local.type.statusPublished Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Teo_Data_Fragment%3A_Virtual_Reality_2017.pdf
Size:
169.29 KB
Format:
Adobe Portable Document Format