Learning automatic video capture from human´s camera operations

This paper presents a video acquisition system that can learn automatic video capture from human´s camera operations. Unlike a predefined camera control system, this system can easily adapt to its environment changes with users´ help. By collecting users´ camera-control operations under various environments, the control system can learn video capture from human, and use these learned skills to operate its cameras when remote viewers don´t, won´t, or can´t operate the system. Moreover, this system allows remote viewers to control their own virtual cameras instead of watching the same video produced by a human operator or a fully automatic system. The online learning algorithm and the camera management algorithm are demonstrated using field data.