Fetching the paper…
Reading the bibliography…
In recent years, video compression techniques have been significantly challenged by the rapidly increased demands associated with high quality and immersive video content.
G. Bjøntegaard, “Calculation of average PSNR differences between RD-curves,” in 13th VCEG Meeting , no. VCEG-M33. Austin, Texas, USA: ITU-T, April 2001
2001
Earlier work this paper cites.
Z. Wang, E. P. Simoncelli, and A. C. Bovik, “Multi-scale structural similarity for image quality assessment,” in Proc. Asilomar Conference on Signals, Systems and Computers , vol. 2. IEEE, 2003, p. 1398
2003
Earlier work this paper cites.
Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE Transactions on Image Processing , vol. 13, pp. 600–612, 2004
2004
Earlier work this paper cites.
Z. Li, A. Aaron, I. Katsavounidis, A. Moorthy, and M. Manohara, “Toward a practical perceptual video quality metric,” The Netflix Tech Blog , 2016
2016
Earlier work this paper cites.
J. Ballé, V. Laparra, and E. P. Simoncelli, “End-to-end optimized image compression,” in International Conference on Learning Representations , 2017
2017
Earlier work this paper cites.
C. Ledig and et al
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
2019
Cited alongside, same era.
O. Rippel, S. Nair, C. Lew, S. Branson, A. G. Anderson, and L. Bourdev, “Learned video compression,” in Proceedings of the IEEE International Conference on Computer Vision , 2019, pp. 3454–3463
2019
Cited alongside, same era.
L. Ma, Y. Tian, P. Xing, and T. Huang, “Residual-based post-processing for hevc,” IEEE MultiMedia , vol. 26, no. 4, pp. 67–79, 2019
2019
Cited alongside, same era.
H. Zhao, M. He, G. Teng, X. Shang, G. Wang, and Y. Feng, “A CNN-based post-processing algorithm for video coding efficiency improvement,” IEEE Access , vol. 8, pp. 920–929, 2019
2019
Cited alongside, same era.
D. Ma, M. F. Afonso, F. Zhang, and D. R. Bull, “Perceptually-inspired super-resolution of compressed videos,” in Applications of Digital Image Processing XLII , vol. 11137. International Society for Optics and Photonics, 2019, p. 1113717
2019
Later among the works it cites.
ITU-T Rec. H.266, Versatile video coding , ITU-T Std., 2020
2020
Closest in time.
Y. Chen, D. Mukherjee, J. Han, A. Grange, Y. Xu, S. Parker, C. Chen, H. Su, U. Joshi, C.-H. Chiang et al. , “An overview of coding tools in av1: the first video codec from the alliance for open media,” APSIPA Transactions on Signal and Information Processing , vol. 9, 2020
2020
Closest in time.
F. Zhang, C. Feng, and D. R. Bull, “Enhancing VVC through CNN-based post-processing,” in Proc. IEEE Int Conf. on Multimedia & Expo , 2020
2020
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Y. Wang, Z. Chen, Y. Li, L. Zhao, S. Liu, and X. Li, “Ce13: Dense residual convolutional neural network based in-loop filter (ce13-2.2 and ce13-2.3),” in the JVET meeting , no. JVET-N0254. ITU-T, ISO/IEC, 2019
2019
Cited alongside, same era.
S. Wan, M.-Z. Wang, H. Gong, C.-Y. Zou, Y.-Z. Ma, J.-Y. Huo, Y.-F. Yu, and Y. Liu, “CE10: Integrated in-loop filter based on CNN (Tests 2.1, 2.2 and 2.3),” in the JVET meeting , no. JVET-O0079. ITU-T, ISO/IEC, 2019
2019
Cited alongside, same era.
F. Bossen, J. Boyce, X. Li, V. Seregin, and K. Sühring, “JVET common test conditions and software reference configurations for SDR video,” in the JVET meeting , no. JVET-M1001. ITU-T and ISO/IEC, 2019
2019
Cited alongside, same era.
2020
Closest in time.
2020
Closest in time.
D. Ma, F. Zhang, and D. R. Bull, “GAN-based effective bit depth adaptation for perceptual video compression,” in Proc. IEEE Int Conf. on Multimedia & Expo , 2020
2020
Closest in time.