부산대학교 도서관

In this paper a new method for frame rate conversion is presented. Utilising motion compensated frame prediction, our method mitigates the spatial distortions associated with traditional methods, while facilitating the conversion between a wider range of frame rates - useful when converting to/between legacy video formats. Using the concept of a virtual shutter angle, our method provides content providers with greater flexibility over the motion characteristic of their video sequences. We also propose a Gaussian weighting scheme which attempts to emulate a video sequence as if it was captured natively at the converted frame rate. A subjective experiment which compared our method to averaging frames at a range of frame rates, has shown that our method results in significantly higher visual quality across a range of content - especially for high down-sample factors.