Residual Learning of Video Frame Interpolation Using Convolutional LSTM

Residual Learning of Video Frame Interpolation Using Convolutional LSTM

Video frame interpolation aims to generate intermediate frames between the original frames. This produces videos with a higher frame rate and creates smoother motion. Many video frame interpolation methods first estimate the motion vector between the input frames and then synthesizes the intermediat...

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Bibliographic Details
Main Authors: Keito Suzuki, Masaaki Ikehara
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional LSTM
frame interpolation
video processing
Online Access:https://ieeexplore.ieee.org/document/9145730/

Internet

https://ieeexplore.ieee.org/document/9145730/

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