4 papers · 1 filter
Neural B-Frame Coding: Tackling Domain Shift Issues with Lightweight Online Motion Resolution Adaptation
Sang NguyenQuang, Xiem HoangVan, Wen-Hsiao Peng
Learned B-frame codecs with hierarchical temporal prediction often encounter the domain-shift issue due to mismatches between the Group-of-Pictures (GOP) sizes for training and tes…
Compressed Video Quality Enhancement: Classifying and Benchmarking over Standards
Xiem HoangVan, Dang BuiDinh, Sang NguyenQuang +1
Compressed video quality enhancement (CVQE) is crucial for improving user experience with lossy video codecs like H.264/AVC, H.265/HEVC, and H.266/VVC. While deep learning based CV…
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…