Delivering real-time video over the Internet is an important component of many Internet
multimedia applications. Transmission of real-time video has bandwidth, delay, and loss …

In this paper, we propose a novel variable-rate learned image compression framework with
a conditional autoencoder. Previous learning-based image compression methods mostly …

In this paper, we review the recent advances in rate control techniques for video coding. The
rate control algorithms recommended in the video coding standards are briefly described …

With the development of deep learning techniques, the combination of deep learning with
image compression has drawn lots of attention. Recently, learned image compression …

Rate control is a useful tool for video coding, especially in real-time communication
applications. Most of existing rate control algorithms are based on the model, which …

Gossip algorithms are attractive for in-network processing in sensor networks because they
do not require any specialized routing, there is no bottleneck or single point of failure, and …

The rate-distortion efficiency of video compression schemes is based on a sophisticated
interaction between various motion representation possibilities, waveform coding of …

The emergence of 3D point clouds (3DPCs) is promoting the rapid development of
immersive communication, autonomous driving, and so on. Due to the huge data volume …

The α-expansion algorithm has had a significant impact in computer vision due to its
generality, effectiveness, and speed. It is commonly used to minimize energies that involve …

Over the last one and a half decades, digital video compression technologies have become
an integral part of the way we create, communicate, and consume visual information. In this …