5 papers
Slimmable Video Codec
Zhaocheng Liu, Luis Herranz, Fei Yang +4
Neural video compression has emerged as a novel paradigm combining trainable multilayer neural networks and machine learning, achieving competitive rate-distortion (RD) performance…
Light field Rectification based on relative pose estimation
Xiao Huo, Dongyang Jin, Saiping Zhang +1
Hand-held light field (LF) cameras have unique advantages in computer vision such as 3D scene reconstruction and depth estimation. However, the related applications are limited by…
DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video
Saiping Zhang, Luis Herranz, Marta Mrak +3
In this paper, we propose a deformable convolution-based generative adversarial network (DCNGAN) for perceptual quality enhancement of compressed videos. DCNGAN is also adaptive to…
DVC-P: Deep Video Compression with Perceptual Optimizations
Saiping Zhang, Marta Mrak, Luis Herranz +3
Recent years have witnessed the significant development of learning-based video compression methods, which aim at optimizing objective or perceptual quality and bit rates. In this…
A Two-step Calibration Method for Unfocused Light Field Camera Based on Projection Model Analysis
Dongyang Jin, Saiping Zhang, Xiao Huo +2
Accurately calibrating light field camera is essential to its applications. Rapid progress has been made in this area in the past decades. In this paper, detailed analysis was firs…