Analysis of Object-Centric Visual Preference in 360-Degree Videos

To provide information for 360-degree visual space exploration, we design experiments to measure and analyze object-centric visual preference. After defining the static and dynamic properties of the objects of interest, we collect real-shot 360-degree videos and synthesize computer-generated 360-degree videos so that the objects have different combinations of static and dynamic properties. From head movement trajectories of subjects wearing head-mounted displays and watching 360-degree videos, we compare visual preference between objects with different static and dynamic properties. The experimental results indicate that subjects have visual preference for certain static and dynamic properties of objects over others; with this knowledge we can construct visually salient viewports by detecting and comparing static and dynamic properties of objects in a 360-degree video.