Autonomous production of basketball videos from multi-sensored data with personalized viewpoints

We propose an autonomous system for personalized production of basketball videos from multi-sensored data under limited display resolution. We propose criteria for optimal planning of viewpoint coverage and camera selection for improved story-telling and perceptual comfort. By using statistical inference, we design and implement the estimation process. Experiments are made to verify the system, which shows that our method efficiently alleviates flickering visual artifacts due to viewpoint switching, and discontinuous story-telling artifacts.