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A Bayesian View of Frame Interpolation and a Comparison with Existing Motion Picture Effects Tools | IEEE Conference Publication | IEEE Xplore

A Bayesian View of Frame Interpolation and a Comparison with Existing Motion Picture Effects Tools


Abstract:

Frame interpolation is the process of synthesising a new frame in-between existing frames in an image sequence. It has emerged as a key module in motion picture effects. ...Show More

Abstract:

Frame interpolation is the process of synthesising a new frame in-between existing frames in an image sequence. It has emerged as a key module in motion picture effects. Previous work either relies on two frame interpolation based entirely on optic flow, or recently DNNs. This paper presents a new algorithm based on multiframe motion interpolation motivated in a Bayesian sense. We also present the first comparison using industrial toolkits used in the post production industry today. We find that the latest Convolutional Neural Network approaches do not significantly outperform explicit motion based techniques.
Date of Conference: 25-28 October 2020
Date Added to IEEE Xplore: 30 September 2020
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Conference Location: Abu Dhabi, United Arab Emirates

References

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