| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Huerst, Wolfgang | |
| dc.contributor.advisor | Hardman, Lynda | |
| dc.contributor.author | Ouwehand, K.M.R. | |
| dc.date.accessioned | 2019-02-22T18:00:42Z | |
| dc.date.available | 2019-02-22T18:00:42Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/31890 | |
| dc.description.abstract | We demonstrated a proof-of-concept implementation of a map-based system for leisure browsing of geo-tagged lifelogging images in VR. A pilot study was performed, testing quantitative and qualitative aspects by using ten general users as well as the two active lifeloggers who created the dataset that was tested. Our findings show that our map-based approach is useful and applicable to lifelogging data, also due to the high performance of our system, demonstrating its ability to browse very large image datasets in real-time (n > 50000). The high entertainment value of our VR system proves our system's applicability for leisure browsing. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 8047377 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | Geospatial Access To Lifelogging Images in VR | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | Image browsing, Leisure browsing, VR, Geospatial, Geo-tagged, GPS, Lifelogging, Images, Large image sets | |
| dc.subject.courseuu | Game and Media Technology | |
