most citedAction-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization

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cs.CV2022★ 1 cited

CANF-VC: Conditional Augmented Normalizing Flows for Video Compression

Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen +2

This paper presents an end-to-end learning-based video compression system, termed CANF-VC, based on conditional augmented normalizing flows (CANF). Most learned video compression s…

cs.CV2021

A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265

Yung-Han Ho, Guo-Lun Jin, Yun Liang +2

This paper introduces a dual-critic reinforcement learning (RL) framework to address the problem of frame-level bit allocation in HEVC/H.265. The objective is to minimize the disto…