References
- Versatile Video Coding, Recommendation ITU-T H.266 and ISO/IEC 23090-3 (VVC), ITU-T and ISO/IEC JTC 1, Jul. 2020.
- High Efficiency Video Coding, Recommendation ITU-T H.265 and ISO/IEC 23008-2 (HEVC), ITU-T and ISO/IEC JTC 1, Apr. 2013.
- S. Ma, X. Zhang, C. Jia, Z. Zhao, S. Wang, S. Wang, "Image and video compression with neural networks: A review," IEEE Transactions on Circuits and Systems for Video Technology, 2019.
- E. Alshina, S. Liu, J. Pfaff, M. Wien, P. Wu, Y. Ye, "JVET AHG report: Neural-network-based video coding (AHG11)," JVET-T0011, Oct. 2020.
- Y. He, B. Wang, E. Alshina, J. Sauer, "AHG11: A hybrid codec using E2E image coding combined with VVC video coding," JVET-AA0063, Jul. 2022.
- Neural Compression Software (NCS). (https://vcgit.hhi.fraunhofer.de/jvet-ahg-nnvc/VVCSoftware_VTM/-/tree/VTM-11.0_nnvc)
- L. Wang, S. Lin, X. Xu, S. Liu (Tencent), F. Galpin (InterDigital), "EE1-1.5: Neural network based in-loop filter with a single model," JVET-AA0088, Jul. 2022.
- Y. Li, K. Zhang, J. Li, L. Zhang (Bytedance), H. Wang, M. Coban, A.M. Kotra, M. Karczewicz (Qualcomm), F. Galpin (InterDigital), K. Andersson, J. Strom, D. Liu, R. Sjoberg (Ericsson), "EE1-1.6: Deep In-Loop Filter With Fixed Point Implementation," JVET-AA0111, Jul. 2022.
- VVC Reference Software. (https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM/-/tags/)
- JVET Common Test Conditions for Neural Network-Based Video Coding Technology. (https://vcgit.hhi.fraunhofer.de/jvetahg-nnvc/nnvc-ctc/-/tree/master)
- G. BjOntegaard, "Improvement of BD-PSNR Model," ITU-T SG16/Q6 VCEG-AI11, Jul. 2008.