Video Enhancement with Task-Oriented Flow
© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Many video enhancement algorithms rely on optical flow to register frames in a video sequence. Precise flow estimation is however intractable; and optical flow itself is often a sub-optimal representation for particular video pro...
Main Authors: | Xue, Tianfan, Chen, Baian, Wu, Jiajun, Wei, Donglai, Freeman, William T |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2021
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Online Access: | https://hdl.handle.net/1721.1/135146 |
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