Exploration and Visualization of Large Image Database in VR

Abstract

This study introduces VR-LIVE to address challenges in navigating and experiencing Lifelog Image Databases (LIDs) efficiently and immersively. To come to VR-LIVE, three visualizations for lifelog snippets in VR are designed, implemented, and evaluated: GIF, 2D map, and 3D map. Participants rated their confidence in understanding activities and movements in each visualization, with the 3D map perceived as the most immersive. The GIF visualization was found to be the most efficient for quickly looking over the lifelog images to get an idea of what the lifelogger was doing. The advantages and disadvantages of each visualization were identified. A proof-of-concept system, VR-LIVE, was designed and realized with the gained insights about the visualizations. In general, the study provides valuable information on virtual reality life-log image visualization techniques.