Rate-distortion analysis for H.264/AVC video coding and its application to rate control

By Siwei Ma, Wen Gao, Yan Lu. IEEE transactions on circuits and systems for video technology (Print), 2005

355 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/9e46b9fe0ae52832511b720f64019877ba7bfc43

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Timothy A. Mann
2. Chenjie Gu
3. Cheng Chen
4. Oriol Vinyals
5. Daniel Jaymin Mankowitz
6. Miaosen Wang
7. Yoshua Bengio
8. Sergey Levine

In Signal Processing

1. Oriol Vinyals
2. Chenjie Gu
3. Timothy A. Mann
4. Miaosen Wang
5. Jinyu Li
6. Dong Yu
7. Yoshua Bengio
8. Quoc V. Le

Citations in the corpus

• MuZero with Self-competition for Rate Control in VP9 Video Compression (2022, methodology): “Common empirical models include quadratic models used in MPEG-4’s VM8 [Tihao Chiang and Ya-Qin Zhang, 1996] and H.264/AVC [Ma et al., 2005, Minqiang Jiang and Nam Ling, 2005, Kwon et al., 2007], ρ-domain models that map between rate and the proportion of non-zero quantized coefficients [He and…”