Abstract
Cinematic Virtual Reality has been increasing in popularity over the last years. Watching omnidirectional movies with head mounted displays, viewers can freely choose the direction of view, and thus the visible section of the movie. In order to explore the users' viewing behavior, methods are needed for collecting and analyzing data. We developed an analyzing tool, the CVR-Analyzer, which can be used for inspecting head pose and eye tracking data of viewers experiencing CVR movies. The visualized data are displayed on a flattened projection of the movie as flexibly controlled augmenting annotations, such as tracks or heatmaps, synchronously with the time code of the movie and allow inspecting and comparing the users' viewing behavior in different use cases.
| Item Type: | Journal article |
|---|---|
| Faculties: | Mathematics, Computer Science and Statistics > Computer Science |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
| Language: | English |
| Item ID: | 66421 |
| Date Deposited: | 19. Jul 2019 12:19 |
| Last Modified: | 04. Nov 2020 13:47 |
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