HEVC/H.265 coding unit split decision using deep reinforcement learning

Chia Hua Chung, Wen Hsiao Peng, Jun Hao Hu

研究成果: Conference contribution

8 引文 斯高帕斯(Scopus)

摘要

The video coding community has long been seeking more effective rate-distortion optimization techniques than the widely adopted greedy approach. The difficulty arises when we need to predict how the coding mode decision made in one stage would affect subsequent decisions and thus the overall coding performance. Taking a data-driven approach, we introduce in this paper deep reinforcement learning (RL) as a mechanism for the coding unit (CU) split decision in HEVC/H.265. We propose to regard the luminance samples of a CU together with the quantization parameter as its state, the split decision as an action, and the reduction in ratedistortion cost relative to keeping the current CU intact as the immediate reward. Based on the Q-learning algorithm, we learn a convolutional neural network to approximate the ratedistortion cost reduction of each possible state-action pair. The proposed scheme performs compatibly with the current full rate-distortion optimization scheme in HM-16.15, incurring a 2.5% average BD-rate loss. While also performing similarly to a conventional scheme that treats the split decision as a binary classification problem, our scheme can additionally quantify the rate-distortion cost reduction, enabling more applications.

原文English
主出版物標題2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面570-575
頁數6
ISBN(電子)9781538621592
DOIs
出版狀態Published - 2 七月 2017
事件25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Xiamen, China
持續時間: 6 十一月 20179 十一月 2017

出版系列

名字2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings
2018-January

Conference

Conference25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017
國家China
城市Xiamen
期間6/11/179/11/17

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    Chung, C. H., Peng, W. H., & Hu, J. H. (2017). HEVC/H.265 coding unit split decision using deep reinforcement learning. 於 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings (頁 570-575). (2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings; 卷 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPACS.2017.8266543