Funder
National Natural Science Foundation of China
Natural Science Foundation of Fujian Province
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference42 articles.
1. Antkowiak J, Jamal Baina T, Baroncini FV, Chateau N, FranceTelecom F, Pessoa ACF, Stephanie Colonnese F, Contin IL, Caviedes J, Philips F (2000) Final report from the video quality experts group on the validation of objective models of video quality assessment March 2000
2. Bosse S, Maniry D, Müller K-R, Wiegand T, Samek W (2017) Deep neural networks for no-reference and full-reference image quality assessment. IEEE Trans Image Process 27(1):206–219. https://doi.org/10.1109/TIP.2017.2760518
3. Boyce J, Alshina E, Abbas A, Yan Y (2018) JVET-E1030: JVET common test conditions and evaluation procedures for 360$$^{\circ }$$ video
4. Chai X, Shao F (2021) Blind quality assessment of omnidirectional videos using spatio-temporal convolutional neural networks. Optik 226:165887. https://doi.org/10.1016/j.ijleo.2020.165887
5. Chen S, Zhang Y, Li Y, Chen Z, Wang Z (2018) Spherical structural similarity index for objective omnidirectional video quality assessment. In: 2018 IEEE International Conference on Multimedia and Expo (ICME). pp 1–6. IEEE
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Long Term UGC Video Quality Evaluation Based on Transformer;Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering;2024-01-26