5 papers
A Rate-Quality Model for Learned Video Coding
Sang NguyenQuang, Cheng-Wei Chen, Xiem HoangVan +1
Learned video coding (LVC) has recently achieved superior coding performance. In this paper, we model the rate-quality (R-Q) relationship for learned video coding by a parametric f…
Enhancing Quality for VVC Compressed Videos with Omniscient Quality Enhancement Model
Xiem HoangVan, Hieu Bui Minh, Sang NguyenQuang +1
The latest video coding standard H.266/VVC has shown its great improvement in terms of compression performance when compared to its predecessor HEVC standard. Though VVC was implem…
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…
Cross-Platform Neural Video Coding: A Case Study
Ruhan Conceição, Marcelo Porto, Wen-Hsiao Peng +1
In this paper, we first show that current learning-based video codecs, specifically the SSF codec, are not suitable for real-world applications due to the mismatch between the enco…
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…