Data fragment: Virtual reality for viewing and querying large image sets
| Autor: | Mitchell Normal, Bruce H. Thomas, Theophilus Teo, Matt Adcock |
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| Přispěvatelé: | Teo, Theophilus, Normal, Mitchell, Adcock, Matt, Thomas, Bruce H, 19th IEEE Virtual Reality, VR 2017 Los Angele, US 18-22 March 2017 |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry 05 social sciences Data fragment 02 engineering and technology Virtual reality Image (mathematics) Visualization Metadata Set (abstract data type) Data visualization Computer graphics (images) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences business Interactive visualization 050107 human factors |
| Zdroj: | VR |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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