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 …

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

We introduce the concept of rate-aware deep perceptual preprocessing (DPP) for video
encoding. DPP makes a single pass over each input frame in order to enhance its visual …

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 …

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 …

Over the past two decades, traditional block-based video coding has made remarkable
progress and spawned a series of well-known standards such as MPEG-4, H. 264/AVC and …

While there are many deep learning based approaches for single image compression, the
field of end-to-end learned video coding has remained much less explored. Therefore, in …

Inspired by recent advances in deep learning, we present the DeepCoder-a Convolutional
Neural Network (CNN) based video compression framework. We apply separate CNN nets …

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

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 …