6 citations · 22 across the 9 of their papers we have counts for
9 papers
FAVER: Blind Quality Prediction of Variable Frame Rate Videos
Qi Zheng, Zhengzhong Tu, Pavan C. Madhusudana +3
Video quality assessment (VQA) remains an important and challenging problem that affects many applications at the widest scales. Recent advances in mobile devices and cloud computi…
Learned Image Compression with Separate Hyperprior Decoders
Zhao Zan, Chao Liu, Heming Sun +2
Learned image compression techniques have achieved considerable development in recent years. In this paper, we find that the performance bottleneck lies in the use of a single hype…
Learned Video Compression with Residual Prediction and Loop Filter
Chao Liu, Heming Sun, Jiro Katto +2
In this paper, we propose a learned video codec with a residual prediction network (RP-Net) and a feature-aided loop filter (LF-Net). For the RP-Net, we exploit the residual of pre…
A Power and Area Efficient Lepton Hardware Encoder with Hash-based Memory Optimization
Xiao Yan, Zhixiong Di, Bowen Huang +4
Although it has been surpassed by many subsequent coding standards, JPEG occupies a large share of the storage load of the current data hosting service. To reduce the storage costs…
A QP-adaptive Mechanism for CNN-based Filter in Video Coding
Chao Liu, Heming Sun, Jiro Katto +2
Convolutional neural network (CNN)-based filters have achieved great success in video coding. However, in most previous works, individual models are needed for each quantization pa…
A Convolutional Neural Network-Based Low Complexity Filter
Chao Liu, Heming Sun, Jiro Katto +2
Convolutional Neural Network (CNN)-based filters have achieved significant performance in video artifacts reduction. However, the high complexity of existing methods makes it diffi…