325 citations · 667 across the 6 of their papers we have counts for
6 papers
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation
Haojie Liu, Ming Lu, Zhiqi Chen +3
Recent years have witnessed rapid advances in learnt video coding. Most algorithms have solely relied on the vector-based motion representation and resampling (e.g., optical flow b…
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Haojie Liu, Ming Lu, Zhan Ma +4
Over the past two decades, traditional block-based video coding has made remarkable progress and spawned a series of well-known standards such as MPEG-4, H.264/AVC and H.265/HEVC.…
Neural Image Compression via Non-Local Attention Optimization and Improved Context Modeling
Tong Chen, Haojie Liu, Zhan Ma +3
This paper proposes a novel Non-Local Attention optmization and Improved Context modeling-based image compression (NLAIC) algorithm, which is built on top of the deep nerual networ…
Non-local Attention Optimized Deep Image Compression
Haojie Liu, Tong Chen, Peiyao Guo +4
This paper proposes a novel Non-Local Attention Optimized Deep Image Compression (NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) structure. O…
Perceptual Quality Assessment of Immersive Images Considering Peripheral Vision Impact
Peiyao Guo, Qiu Shen, Zhan Ma +2
Conventional images/videos are often rendered within the central vision area of the human visual system (HVS) with uniform quality. Recent virtual reality (VR) device with head mou…
Rate Model for Compressed Video Considering Impacts Of Spatial, Temporal and Amplitude Resolutions and Its Applications for Video Coding and Adaptation
Zhan Ma, Hao Hu, Meng Xu +1
In this paper, we investigate the impacts of spatial, temporal and amplitude resolution (STAR) on the bit rate of a compressed video. We propose an analytical rate model in terms o…