Deep learning architectures are now pervasive and filled almost all applications under
image processing, computer vision, and biometrics. The attractive property of feature …

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 …

Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …

Semantic communications has received growing interest since it can remarkably reduce the
amount of data to be transmitted without missing critical information. Most existing works …

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 …

This paper presents the Generative Adversarial Networks (GANs)-based image semantic
coding, the goal of which is semantic exchange rather than symbol transmission. State-of …

Due to the rapid growth of web conferences, remote screen sharing, and online games,
screen content has become an important type of internet media information and over 90% of …

Most video compression methods aim to improve the decoded video visual quality, instead
of particularly guaranteeing the semantic-completeness, which deteriorates downstream …

Recently deep learning-based image compression methods have achieved significant
achievements and gradually outperformed traditional approaches including the latest …

Task-driven semantic video/image coding has drawn considerable attention with the
development of intelligent media applications, such as license plate detection, face …