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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 …
Deep architectures for image compression: a critical review
Deep learning architectures are now pervasive and filled almost all applications under
image processing, computer vision, and biometrics. The attractive property of feature …
image processing, computer vision, and biometrics. The attractive property of feature …
Nonlinear transform coding
We review a class of methods that can be collected under the name nonlinear transform
coding (NTC), which over the past few years have become competitive with the best linear …
coding (NTC), which over the past few years have become competitive with the best linear …
Video coding for machines: A paradigm of collaborative compression and intelligent analytics
Video coding, which targets to compress and reconstruct the whole frame, and feature
compression, which only preserves and transmits the most critical information, stand at two …
compression, which only preserves and transmits the most critical information, stand at two …
Learning-driven lossy image compression: A comprehensive survey
In the field of image processing and computer vision (CV), machine learning (ML)
architectures are widely used. Image compression problems can be solved using …
architectures are widely used. Image compression problems can be solved using …
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 …
Learned block-based hybrid image compression
Recent works on learned image compression perform encoding and decoding processes in
a full-resolution manner, resulting in two problems when deployed for practical applications …
a full-resolution manner, resulting in two problems when deployed for practical applications …
Digital retina: A way to make the city brain more efficient by visual coding
The ubiquitous camera networks in the city brain system grow at a rapid pace, creating
massive amounts of images and videos at a range of spatial-temporal scales and thereby …
massive amounts of images and videos at a range of spatial-temporal scales and thereby …
Deep frame prediction for video coding
We propose a novel frame prediction method using a deep neural network (DNN), with the
goal of improving the video coding efficiency. The proposed DNN makes use of decoded …
goal of improving the video coding efficiency. The proposed DNN makes use of decoded …
A robust quality enhancement method based on joint spatial-temporal priors for video coding
Quality enhancement of HEVC compressed videos has attracted a lot of attentions in recent
years. In this article, we propose a robust multi-frame guided attention network (MGANet) to …
years. In this article, we propose a robust multi-frame guided attention network (MGANet) to …