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 …

Deep learning architectures are now pervasive and filled almost all applications under
image processing, computer vision, and biometrics. The attractive property of feature …

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 …

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 …

We study the dual problem of image super-resolution (SR), which we term image compact-
resolution (CR). Opposite to image SR that hallucinates a visually plausible high-resolution …

One key challenge to learning-based video compression is that motion predictive coding, a
very effective tool for video compression, can hardly be trained into a neural network. In this …

The raw video data can be compressed much by the latest video coding standard, high
efficiency video coding (HEVC). However, the block-based hybrid coding used in HEVC will …

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 …

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 …

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 …