This paper presents an iterative training of neural networks for intra prediction in a block-
based image and video codec. First, the neural networks are trained on blocks arising from …

This paper proposes a deep learning method for intra prediction. Different from traditional
methods utilizing some fixed rules, we propose using a fully connected network to learn an …

One fundamental component of video compression standards is Intra-Prediction. Intra-
Prediction takes advantage of redundancy in the information of neighboring pixel values …

We train a neural network to perform intra picture prediction for block based video coding.
Our network has multiple prediction modes which co-adapt during training to minimize a loss …

After the development of the Versatile Video Coding (VVC) standard, research on neural
network-based video coding technologies continues as a potential approach for future video …

This paper presents a novel method for a data-driven training of affine-linear predictors
which perform intra prediction in state-of-the-art video coding. The main aspect of our …

This paper enhances the intra prediction by using multiple neural network modes (NM).
Each NM serves as an end-to-end mapping from the neighboring reference blocks to the …

In order to reach higher coding efficiency compared to its predecessor, a state-of-the-art
video compression standard, the High Efficiency Video Coding (HEVC), has been designed …

In this paper, we propose an enhanced bi-prediction scheme based on the convolutional
neural network (CNN) to improve the rate-distortion performance in video compression. In …

In this paper, a dual learning-based method in intra coding is introduced for PCS Grand
Challenge. This method is mainly composed of two parts: intra prediction and reconstruction …