이번 PR12 340번째 논문으로 소개드릴 내용은 Deep Learning을 이용한 Video Compression에 관한 내용입니다. 바로 이전 논문으로 Deep Learning을 이용한 Image Compression에 대해 설명드렸었는데요, 시간 여유가 있으신 분들께서는 이전 영상 먼저 보시고 오는 것을 추천드립니다 :)
이전 영상: https://www.youtube.com/watch?v=rtuJqQDWmIA
paper link: https://arxiv.org/abs/1812.00101
youtube link: https://youtu.be/Dd8Gj2ZITkA
4. Entropy Coding
Entropy Coding
A,B,C,D: 4 Letters (need at least 2 bits per letter)
Sample Bits
A 00
B 10
C 01
D 11
100100001111110101000100010001
(30 bits)
https://www.programiz.com/dsa/huffman-coding
5. Entropy Coding
Entropy Coding
A,B,C,D: 4 Letters (need at least 2 bits per letter)
Sample Bits
A 11
B 100
C 0
D 101
1000111110110110100110110110
(28 bits)
Lower Bound??
Huffman Coding
26. DVC
Motion Estimation Network
Ranjan, Anurag, and Michael J. Black. "Optical flow estimation using a spatial pyramid network." Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
27. DVC
Motion Vector Encoder/Decoder Network
Ballé, Johannes, Valero Laparra, and Eero P. Simoncelli. "End-to-end optimized image compression." arXiv preprint arXiv:1611.01704 (2016).
29. DVC
Loss Function
Ballé, Johannes, et al. "Variational image compression with a scale hyperprior." International Conference on Learning Representations. 2018.