Deep region segmentation-based intra prediction for depth video coding
Depth information plays a vital role in 3D video systems. Since the depth video has large
smooth areas segmented by sharp edges, preserving the sharp edges becomes a crucial …
smooth areas segmented by sharp edges, preserving the sharp edges becomes a crucial …
Neural network-based enhancement to inter prediction for video coding
Inter prediction is a crucial part of hybrid video coding frameworks, utilized to exploit the
temporal redundancy in video sequences and improve the coding performance. During inter …
temporal redundancy in video sequences and improve the coding performance. During inter …
Unsupervised denoising of photoacoustic images based on the Noise2Noise network
In this study, we implemented an unsupervised deep learning method, the Noise2Noise
network, for the improvement of linear-array-based photoacoustic (PA) imaging. Unlike …
network, for the improvement of linear-array-based photoacoustic (PA) imaging. Unlike …
System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated …
H Ren, M El-Khamy, J Lee - US Patent 10,803,378, 2020 - Google Patents
Apparatuses and methods of manufacturing same, systems, and methods for generating a
convolutional neural network (CNN) are described. In one aspect, a minimal CNN having …
convolutional neural network (CNN) are described. In one aspect, a minimal CNN having …
基于生成模型的视频图像重建方法综述
王延文， 雷为民， 张伟， 孟欢， 陈新怡， 叶文慧… - 通信 …, 2022 - infocomm-journal.com
基于像素相关性的传统视频压缩技术性能提升空间受限, 语义压缩成为视频压缩编码的新方向,
视频图像重建是语义压缩编码的关键环节. 首先介绍了针对传统编码优化的视频图像重建方法 …
视频图像重建是语义压缩编码的关键环节. 首先介绍了针对传统编码优化的视频图像重建方法 …
Convolution neural network based video coding technique using reference video synthesis
In this paper, we propose a novel video coding technique that uses a virtual reference (VR)
video frame, synthesized by a convolution neural network (CNN) for an inter-coding …
video frame, synthesized by a convolution neural network (CNN) for an inter-coding …
Interlayer restoration deep neural network for scalable high efficiency video coding
This paper applies an interlayer restoration deep neural network (IRDNN) for scalable high
efficiency video coding (SHVC) to improve visual quality and coding efficiency. It is the first …
efficiency video coding (SHVC) to improve visual quality and coding efficiency. It is the first …
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
Existing image compressed sensing (CS) coding frameworks usually solve an inverse
problem based on measurement coding and optimization-based image reconstruction …
problem based on measurement coding and optimization-based image reconstruction …
Group-normalized deep CNN-based in-loop filter for HEVC scalable extension
A Dhanalakshmi, G Nagarajan - Signal, Image and Video Processing, 2022 - Springer
Abstract High Efficiency Video Coding (HEVC) is the recent video coding standard that can
compress raw video at a higher compression state. The extension of HEVC, Scalable High …
compress raw video at a higher compression state. The extension of HEVC, Scalable High …
Deep Intra Prediction by Jointly Exploiting Local and Non-Local Similarities
Intra prediction, which aims to remove the redundancies within a frame, has shown
promising performance by simply projecting and interpolating samples along multiple …
promising performance by simply projecting and interpolating samples along multiple …