Convolutional neural network (CNN)-based filters have achieved great success in video
coding. However, in most previous works, individual models were needed for each …

This paper provides a survey of the latest developments in visual signal coding and
processing with generative models. Specifically, our focus is on presenting the advancement …

This paper shows, using a technical perspective, the evolution of mobile technologies, from
the second generation (2G) to the fifth generation (5G). It is analyzed from the following …

The past decade has witnessed the huge success of deep learning in well-known artificial
intelligence applications such as face recognition, autonomous driving, and large language …

Compressing the sign information of discrete cosine transform (DCT) coefficients is an
intractable problem in image coding schemes due to the equiprobable characteristics of the …

The huge data volume of 3D video brings great challenges to the storage and deployment of
existing multimedia systems. To reduce the redundancy of 3D video, this brief proposes a …

In intra coding, Rate Distortion Optimization (RDO) is performed to achieve the optimal intra
mode from a pre-defined candidate list. The optimal intra mode is also required to be …

This paper presents the joint reference frame synthesis (RFS) and post-processing filter
enhancement (PFE) for Versatile Video Coding (VVC), aiming to explore the combination of …

Modern video codecs have high capability to minimize the bits and also have an immense
complexity because of testing more combinations during the RDO (Rate Distortion …

With the development of convolutional neural networks, aiming at the problem of low
efficiency and low accuracy in the process of wood species recognition, a recognition …