May 6, 2020 · In this paper, we propose an RC method based on deep reinforcement learning (DRL) for dynamic video sequences in HEVC to improve the coding ...
In this paper, we propose an RC method based on deep reinforcement learning (DRL) for dynamic video sequences in HEVC to improve the coding efficiency. First, ...
In this paper, we propose an RC method based on deep reinforcement learning (DRL) for dynamic video sequences in HEVC to improve the coding efficiency. First, ...
Experimental results show that the proposed DRL-based RC method offers substantially enhanced RC accuracy and consistently outperforms HEVC reference ...
Rate Control Method Based on Deep Reinforcement Learning for Dynamic Video Sequences in HEVC ... Learning-based Complexity Control for High Efficiency Video ...
Mar 30, 2023 · This paper proposes a learning-based mapping method between rate control parameters and video contents to achieve an accurate target bit rate ...
Unlike the traditional methods, we will give a learning-based method in rate control for quality consistency oriented video coding (LIRC-QC), and the main ...
Missing: Reinforcement | Show results with:Reinforcement
May 6, 2020 · Rate control (RC) plays a critical role in the transmission of high-quality video data under certain bandwidth restrictions in High ...
... Recently, deep reinforcement learning (RL) emerged as a promising technique for addressing dependent decision-making. Some early attempts apply RL to tackle ...
Dec 6, 2022 · Hyun [51] proposed a VVC frame-level constant bit rate control method based on the recursive Bayesian estimation (RBE), which not only ...