4 papers
Boosting Neural Video Codec via Scale-Driven Online Flow Refinement
Tiange Zhang, Rongqun Lin, Haocheng Tang +4
Although state-of-the-art neural video codecs (NVCs) have achieved remarkable performance, they suffer from limited generalization when encountering complex motion patterns unseen…
L-STEC: Learned Video Compression with Long-term Spatio-Temporal Enhanced Context
Tiange Zhang, Zhimeng Huang, Xiandong Meng +3
Neural Video Compression has emerged in recent years, with condition-based frameworks outperforming traditional codecs. However, most existing methods rely solely on the previous f…
Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content
Qizhe Wang, Qian Yin, Zhimeng Huang +4
Cloud gaming is an advanced form of Internet service that necessitates local terminals to decode within limited resources and time latency. Super-Resolution (SR) techniques are oft…
Rethinking Bjøntegaard Delta for Compression Efficiency Evaluation: Are We Calculating It Precisely and Reliably?
Xinyu Hang, Shenpeng Song, Zhimeng Huang +3
For decades, the Bjøntegaard Delta (BD) has been the metric for evaluating codec Rate-Distortion (R-D) performance. Yet, in most studies, BD is determined using just 4-5 R-D data…