162 citations · 321 across the 7 of their papers we have counts for
7 papers
Perceptually-inspired super-resolution of compressed videos
Di Ma, Mariana Afonso, Fan Zhang +1
Spatial resolution adaptation is a technique which has often been employed in video compression to enhance coding efficiency. This approach encodes a lower resolution version of th…
A Subjective Study on Videos at Various Bit Depths
Alex Mackin, Di Ma, Fan Zhang +1
Bit depth adaptation, where the bit depth of a video sequence is reduced before transmission and up-sampled during display, can potentially reduce data rates with limited impact on…
CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
Di Ma, Fan Zhang, David R. Bull
We propose a new Generative Adversarial Network for Compressed Video quality Enhancement (CVEGAN). The CVEGAN generator benefits from the use of a novel Mul2Res block (with multipl…
Video Compression with CNN-based Post Processing
Fan Zhang, Di Ma, Chen Feng +1
In recent years, video compression techniques have been significantly challenged by the rapidly increased demands associated with high quality and immersive video content. Among va…
Video compression with low complexity CNN-based spatial resolution adaptation
Di Ma, Fan Zhang, David R. Bull
It has recently been demonstrated that spatial resolution adaptation can be integrated within video compression to improve overall coding performance by spatially down-sampling bef…
MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
Di Ma, Fan Zhang, David R. Bull
In this paper, we propose a novel convolutional neural network (CNN) architecture, MFRNet, for post-processing (PP) and in-loop filtering (ILF) in the context of video compression.…