@inproceedings{4d9d8e9de52a4ab8ab626723aa5b19ce,
title = "A Frame Rate Conversion Method Based on a Virtual Shutter Angle",
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.",
keywords = "High frame rate, Frame rate conversion",
author = "Alex Mackin and Aaron Zhang and David Bull",
year = "2019",
month = aug,
day = "26",
doi = "10.1109/ICIP.2019.8803489",
language = "English",
isbn = "978-1-5386-6250-2",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "2019 IEEE International Conference on Image Processing (ICIP)",
address = "United States",
}