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C3DVQA: FULL-REFERENCE VIDEO QUALITY ASSESSMENT WITH 3D CONVOLUTIONAL NEURAL NETWORK

The proposed C3DVQA architecture is a full-reference video quality assessment method using 3D convolutional neural network.

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Cite this as

Munan Xu, Junming Chen, Haiqiang Wang, Shan Liu, Ge Li (2024). Dataset: C3DVQA: FULL-REFERENCE VIDEO QUALITY ASSESSMENT WITH 3D CONVOLUTIONAL NEURAL NETWORK. https://doi.org/10.57702/lie6ny35

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Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1910.13646
Author Munan Xu
More Authors
Junming Chen
Haiqiang Wang
Shan Liu
Ge Li