6 papers
Symmetric Entropy-Constrained Video Coding for Machines
Yuxiao Sun, Meiqin Liu, Chao Yao +5
As video transmission increasingly serves machine vision systems (MVS) instead of human vision systems (HVS), video coding for machines (VCM) has become a critical research topic.…
KD-NVC: A Search-and-Distill Framework to Accelerate Neural Video Coding
Yuxiao Sun, Meiqin Liu, Chao Yao +6
While neural video coding (NVC) has achieved remarkable rate-distortion performance, real-time decoding on edge devices has become an important demand but remains limited by high c…
TransVFC: A Transformable Video Feature Compression Framework for Machines
Yuxiao Sun, Yao Zhao, Meiqin Liu +4
Nowadays, more and more video transmissions primarily aim at downstream machine vision tasks rather than humans. While widely deployed Human Visual System (HVS) oriented video codi…
MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution
Linfeng He, Meiqin Liu, Qi Tang +2
Video super-resolution (VSR) faces critical challenges in effectively modeling non-local dependencies across misaligned frames while preserving computational efficiency. Existing V…
Embedding Compression Distortion in Video Coding for Machines
Yuxiao Sun, Yao Zhao, Meiqin Liu +2
Currently, video transmission serves not only the Human Visual System (HVS) for viewing but also machine perception for analysis. However, existing codecs are primarily optimized f…
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
Qi Tang, Yao Zhao, Meiqin Liu +1
Diffusion-based Video Super-Resolution (VSR) is renowned for generating perceptually realistic videos, yet it grapples with maintaining detail consistency across frames due to stoc…