A Frame Rate Conversion Method Based on a Virtual Shutter Angle

Alex Mackin, Aaron Zhang, David Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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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.
Original languageEnglish
Title of host publication2019 IEEE International Conference on Image Processing (ICIP)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)978-1-5386-6249-6
ISBN (Print)978-1-5386-6250-2
DOIs
Publication statusE-pub ahead of print - 26 Aug 2019

Publication series

Name
ISSN (Print)1522-4880

Keywords

  • High frame rate
  • Frame rate conversion

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  • Cite this

    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). https://doi.org/10.1109/ICIP.2019.8803489