MACHINE PERCEPTION AND ROBOTICS GROUP

Dept. of Robotics Science and Technology,
Chubu University

Personal video sharing services such as YouTube have become popular because videos can easily be recorded in high-definition (HD) using a personal camcorder. However, it is difficult to broadcast an HD video via the Internet because of the large amount of data involved. We present a novel method for generating videos with virtual camerawork that is based on object tracking technology. Once a user specifies the positions of the object on keyframes, our method can be used to generate virtual camerawork between two keyframes in a row on the basis of the results of bi-directional tracking. We evaluated our method with subjective experiments and demonstrated its effectiveness.