Image and video compression with neural networks: A review
In recent years, the image and video coding technologies have advanced by leaps and
bounds. However, due to the popularization of image and video acquisition devices, the …
bounds. However, due to the popularization of image and video acquisition devices, the …
Deep learning-based video coding: A review and a case study
The past decade has witnessed the great success of deep learning in many disciplines,
especially in computer vision and image processing. However, deep learning-based video …
especially in computer vision and image processing. However, deep learning-based video …
DeepQTMT: A deep learning approach for fast QTMT-based CU partition of intra-mode VVC
Versatile Video Coding (VVC), as the latest standard, significantly improves the coding
efficiency over its predecessor standard High Efficiency Video Coding (HEVC), but at the …
efficiency over its predecessor standard High Efficiency Video Coding (HEVC), but at the …
Content-aware convolutional neural network for in-loop filtering in high efficiency video coding
Recently, convolutional neural network (CNN) has attracted tremendous attention and has
achieved great success in many image processing tasks. In this paper, we focus on CNN …
achieved great success in many image processing tasks. In this paper, we focus on CNN …
A deep learning approach for multi-frame in-loop filter of HEVC
An extensive study on the in-loop filter has been proposed for a high efficiency video coding
(HEVC) standard to reduce compression artifacts, thus improving coding efficiency …
(HEVC) standard to reduce compression artifacts, thus improving coding efficiency …
Advances in video compression system using deep neural network: A review and case studies
Significant advances in video compression systems have been made in the past several
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …
Efficient in-loop filtering based on enhanced deep convolutional neural networks for HEVC
The raw video data can be compressed much by the latest video coding standard, high
efficiency video coding (HEVC). However, the block-based hybrid coding used in HEVC will …
efficiency video coding (HEVC). However, the block-based hybrid coding used in HEVC will …
TSAN: Synthesized view quality enhancement via two-stream attention network for 3D-HEVC
In three-dimensional video system, the texture and depth videos are jointly encoded, and
then the Depth Image Based Rendering (DIBR) is utilized to realize view synthesis …
then the Depth Image Based Rendering (DIBR) is utilized to realize view synthesis …
Machine learning based video coding optimizations: A survey
Video data has become the largest source of data consumed globally. Due to the rapid
growth of video applications and boosting demands for higher quality video services, video …
growth of video applications and boosting demands for higher quality video services, video …
MFRNet: a new CNN architecture for post-processing and in-loop filtering
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. This …
for post-processing (PP) and in-loop filtering (ILF) in the context of video compression. This …