Real-time controls of virtual camera are required for telecasting a live program whose stages and characters are all created by 3D-CG. However, the automation is very difficult because criteria of camera control differ between desirable effects of programs. Therefore, we introduce learning mechanism for flexibly customizing behaviors of virtual cameras.
