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Publication - Professor David Bull

    A Frame Rate Conversion Method Based on a Virtual Shutter Angle

    Citation

    Mackin, A, Zhang, A & Bull, D, 2019, ‘A Frame Rate Conversion Method Based on a Virtual Shutter Angle’. in: 2019 IEEE International Conference on Image Processing (ICIP). Institute of Electrical and Electronics Engineers (IEEE)

    Abstract

    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.

    Full details in the University publications repository