4 papers
MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
Huu-Tai Phung, Zong-Lin Gao, Yi-Chen Yao +5
This work, termed MH-LVC, presents a multi-hypothesis temporal prediction scheme that employs long- and short-term reference frames in a conditional residual video coding framework…
Fast-OMRA: Fast Online Motion Resolution Adaptation for Neural B-Frame Coding
Sang NguyenQuang, Zong-Lin Gao, Kuan-Wei Ho +2
Most learned B-frame codecs with hierarchical temporal prediction suffer from the domain shift issue caused by the discrepancy in the Group-of-Pictures (GOP) size used for training…
OMRA: Online Motion Resolution Adaptation to Remedy Domain Shift in Learned Hierarchical B-frame Coding
Zong-Lin Gao, Sang NguyenQuang, Wen-Hsiao Peng +1
Learned hierarchical B-frame coding aims to leverage bi-directional reference frames for better coding efficiency. However, the domain shift between training and test scenarios due…
MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression
Yi-Hsin Chen, Hong-Sheng Xie, Cheng-Wei Chen +4
Conditional coding has lately emerged as the mainstream approach to learned video compression. However, a recent study shows that it may perform worse than residual coding when the…