Video Coding 19

[논문 리뷰] RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling-Based Video Coding

오늘 살펴 볼 논문은 'RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling-Based Video Coding' 라는 제목으로 2021년 IEEE Transactions on Image Processing에 실린 논문 [1] 이다. 해당 논문은 동일 저자들이 2020년 Springer MultiMedia Modeling 에 출판한 'Down-sampling based video coding with degradation-aware restoration-reconstruction deep neural network' 라는 제목의 논문 [2] 을 개선한 version 2 연구라고 볼 수 있다. Intro..

[논문 리뷰] CNN-based Motion Compensation

[References] Shuai Huo, Dong Liu, Feng Wu, Houqiang Li, “Convolutional Neural Network-Based Motion Compensation Refinement for Video Coding,” in IEEE International Symposium on Circuits and Systems (ISCAS), 2018, pp. 1–4. Zhenghui Zhao, Shiqi Wang, Shanshe Wang, Xinfeng Zhang, Siwei Ma, Jiansheng Yang, “CNN-Based Bi-Directional Motion Compensation for High Efficiency Video Coding,” in IEEE Inter..

[논문 리뷰] Affine Motion Compensation Prediction in FVC

[References] Sixin Lin, Huanbang Chen, Hong Zhang, Sychev Maxim, Haitao Yang, Jiantong Zhou, “Affine transform prediction for next generation video coding,” MPEG doc. m37525 and ITU-T SG16 Doc. COM16–C1016, Oct. 2015. J. Chen, E. Alshina, G. J. Sullivan, J.-R. Ohm, and J. Boyce, “Algorithm Description of Joint Exploration Test Model 7 (JEM 7),”JVET-G1001-v1, Jul. 2017. Huanbang Chen, Sixin Lin, ..