In recent years, the image and video coding technologies have advanced by leaps and
bounds. However, due to the popularization of image and video acquisition devices, the …

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 …

Video data has become the largest source of data consumed globally. Due to the rapid
growth of video applications and boosting demands for higher quality video services, video …

In this paper, we propose an efficient inter prediction scheme by introducing the deep virtual
reference frame (VRF), which serves better reference in the temporal redundancy removal …

Deep learning provides a great potential for in-loop filtering to improve both coding
efficiency and subjective quality in video coding. State-of-the-art work focuses on network …

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 …

Fractional motion compensation (FMC) has been widely adopted in modern video coding
standards such as high-efficiency video coding (HEVC). The fractional pixels in FMC are …

This paper presents a new Convolutional Neural Network (CNN) based post-processing
approach for video compression, which is applied at the decoder to improve the …

The Joint Video Exploration Team (JVET) recently launched the standardization of the next-
generation video coding named Versatile Video Coding (VVC) with the inherited technical …

Deep learning has achieved great success in the past decade, especially in the fields of
computer vision and image processing. After witnessing such success, video coding experts …