Rate Control for Learned Video Compression-Reference-Cited by-同舟云学术

Rate Control for Learned Video Compression

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Li Yanghao¹,Chen Xinyao¹,Li Jisheng¹,Wen Jiangtao¹,Han Yuxing²,Liu Shan³,Xu Xiaozhong³

Affiliation:

1. Tsinghua University,Beijing,China

2. Research Institute of Tsinghua University in Shenzhen,Shenzhen,China

3. Tencent Media Lab

Publisher

IEEE

Link

Reference27 articles.

3. Deep video compression with variable rate b-frame coding;zhu,2021

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2. Rate Control for Slimmable Video Codec using Multilayer Perceptron;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. Rate-Quality Based Rate Control Model for Neural Video Compression;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. An Improved CTU-level Rate Control Algorithm Based on Temporal Domain Motion Intensity;2023 22nd International Symposium on Communications and Information Technologies (ISCIT);2023-10-16

5. GOP-Based Latent Refinement for Learned Video Coding;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04