End-to-end learnt image compression via non-local attention optimization and improved context modeling
This article proposes an end-to-end learnt lossy image compression approach, which is built
on top of the deep nerual network (DNN)-based variational auto-encoder (VAE) structure …
on top of the deep nerual network (DNN)-based variational auto-encoder (VAE) structure …
VVC in-loop filters
M Karczewicz, N Hu, J Taquet, CY Chen… - … on Circuits and …, 2021 - ieeexplore.ieee.org
This paper presents an overview of the technologies for in-loop processing and filtering in
the Versatile Video Coding (VVC) standard. These processes comprise luma mapping with …
the Versatile Video Coding (VVC) standard. These processes comprise luma mapping with …
Fast intra mode decision algorithm for versatile video coding
To achieve higher coding efficiency, the latest Versatile Video Coding (VVC) standard
adopts a series of new intra coding techniques, including the quadtree plus multi-type tree …
adopts a series of new intra coding techniques, including the quadtree plus multi-type tree …
Hybrid distortion-based rate-distortion optimization and rate control for H. 265/HEVC
Mean squared error (MSE) is adopted as the distortion metric for the rate-distortion
optimization (RDO) and rate control (RC) in most of the existing video coding standards, eg …
optimization (RDO) and rate control (RC) in most of the existing video coding standards, eg …
Joint optimization for SSIM-based CTU-level bit allocation and rate distortion optimization
Y Li, X Mou - IEEE transactions on broadcasting, 2021 - ieeexplore.ieee.org
Structural similarity (SSIM)-based distortion D SSIM is more consistent with human
perception than the traditional mean squared error D MSE. To achieve better video …
perception than the traditional mean squared error D MSE. To achieve better video …
High efficiency rate control for versatile video coding based on composite Cauchy distribution
In this work, we propose a novel rate control algorithm for Versatile Video Coding (VVC)
standard based on its distinct rate-distortion characteristics. By modelling the transform …
standard based on its distinct rate-distortion characteristics. By modelling the transform …
Multi-objective optimization of quality in VVC rate control for low-delay video coding
F Liu, Z Chen - IEEE Transactions on Image Processing, 2021 - ieeexplore.ieee.org
In this paper, a multi-objective optimization of quality based coding tree unit (CTU) level rate
control method, named MORC, for low-delay video coding of Versatile Video Coding (VVC) …
control method, named MORC, for low-delay video coding of Versatile Video Coding (VVC) …
Rate-distortion optimized learning-based image compression using an adaptive hierachical autoencoder with conditional hyperprior
Deep-learning-based compressive autoencoders consist of a single non-linear function
mapping the image to a latent space which is quantized and transmitted. Afterwards, a …
mapping the image to a latent space which is quantized and transmitted. Afterwards, a …
End-to-end compression towards machine vision: Network architecture design and optimization
The visual signal compression is a long-standing problem. Fueled by the recent advances of
deep learning, exciting progress has been made. Despite better compression performance …
deep learning, exciting progress has been made. Despite better compression performance …
Quantization parameter cascading for surveillance video coding considering all inter reference frames
Y Gong, K Yang, Y Liu, KP Lim, N Ling… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Video surveillance and its applications have become increasingly ubiquitous in modern
daily life. In video surveillance system, video coding as a critical enabling technology …
daily life. In video surveillance system, video coding as a critical enabling technology …