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 …

Abstract Deep Neural Networks (DNN) have emerged in recent year as a best-of-breed
alternative for performing various classification, prediction and identification tasks in images …

Deep learning methods are increasingly being applied in the optimisation of video
compression algorithms and can achieve significantly enhanced coding gains, compared to …

Recently, learning based video compression methods attract increasing attention. However,
the previous works suffer from error propagation due to the accumulation of reconstructed …

Significant advances in video compression systems have been made in the past several
decades to satisfy the near-exponential growth of Internet-scale video traffic. From 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 …

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 …

Traditional video compression approaches build upon the hybrid coding framework with
motion-compensated prediction and residual transform coding. In this paper, we propose the …

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 …

As an extension of high efficiency video coding (HEVC), the scalable high efficiency video
coding (SHVC) introduces multiple layers with inter-layer predictions, which greatly …