1 citations · 1 across the 8 of their papers we have counts for
5 papers · 1 filter
Learning Optimal Linear Block Transform by Rate Distortion Minimization
Alessandro Gnutti, Chia-Hao Kao, Wen-Hsiao Peng +1
Linear block transform coding remains a fundamental component of image and video compression. Although the Discrete Cosine Transform (DCT) is widely employed in all current compres…
TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception
Yi-Hsin Chen, Ying-Chieh Weng, Chia-Hao Kao +3
This work aims for transferring a Transformer-based image compression codec from human perception to machine perception without fine-tuning the codec. We propose a transferable Tra…
Transformer-based Variable-rate Image Compression with Region-of-interest Control
Chia-Hao Kao, Ying-Chieh Weng, Yi-Hsin Chen +2
This paper proposes a transformer-based learned image compression system. It is capable of achieving variable-rate compression with a single model while supporting the region-of-in…
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265
Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng +1
This paper presents a reinforcement learning (RL) framework that utilizes Frank-Wolfe policy optimization to solve Coding-Tree-Unit (CTU) bit allocation for Region-of-Interest (ROI…
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization
Yung-Han Ho, Yun Liang, Chia-Hao Kao +1
This paper presents a reinforcement learning (RL) framework that leverages Frank-Wolfe policy optimization to address frame-level bit allocation for HEVC/H.265. Most previous RL-ba…