5 papers · 1 filter
In-Loop Filtering Using Learned Look-Up Tables for Video Coding
Zhuoyuan Li, Jiacheng Li, Yao Li +4
In-loop filtering (ILF) is a key technology in video coding standards to reduce artifacts and enhance visual quality. Recently, neural network-based ILF schemes have achieved remar…
USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s
Zhuoyuan Li, Junqi Liao, Chuanbo Tang +10
Image/video coding has been a remarkable research area for both academia and industry for many years. Testing datasets, especially high-quality image/video datasets are desirable f…
Uniformly Accelerated Motion Model for Inter Prediction
Zhuoyuan Li, Yao Li, Chuanbo Tang +3
Inter prediction is a key technology to reduce the temporal redundancy in video coding. In natural videos, there are usually multiple moving objects with variable velocity, resulti…
In-Loop Filtering via Trained Look-Up Tables
Zhuoyuan Li, Jiacheng Li, Yao Li +3
In-loop filtering (ILF) is a key technology for removing the artifacts in image/video coding standards. Recently, neural network-based in-loop filtering methods achieve remarkable…
IVCA: Inter-Relation-Aware Video Complexity Analyzer
Junqi Liao, Yao Li, Zhuoyuan Li +2
To address the real-time analysis requirements of video streaming applications, we propose an innovative inter-relation-aware video complexity analyzer (IVCA) to enhance the existi…