The past few years have witnessed great success in applying deep learning to enhance the
quality of compressed image/video. The existing approaches mainly focus on enhancing the …

In this paper, we propose a novel deep learning based video saliency prediction method,
named DeepVS. Specifically, we establish a large-scale eye-tracking database of videos …

The latest High Efficiency Video Coding (HEVC) standard has been increasingly applied to
generate video streams over the Internet. However, HEVC compressed videos may incur …

In contrast with traditional videos, omnidirectional videos enable spherical viewing direction
with support for head-mounted displays, providing an interactive and immersive experience …

Omnidirectional video enables spherical stimuli with the 360*180^∘ viewing range.
Meanwhile, only the viewport region of omnidirectional video can be seen by the observer …

Task-driven semantic video/image coding has drawn considerable attention with the
development of intelligent media applications, such as license plate detection, face …

In this paper, a joint decision tree and visual feature optimization rate control scheme for
ultrahigh-definition (UHD) versatile video coding (VVC) is proposed. First, we design a new …

Video data have become the main data traffic on the Internet, and their traffic is increasing
explosively every year, thus increasing the pressure of video transmission. Video coding …

Rate control plays an important role in video coding systems, which makes the output bitrate
of a video encoder equal to the target bitrate while minimizing the distortion of the …

Mean squared error (MSE) is adopted as the distortion metric for the rate-distortion
optimization (RDO) and rate control (RC) in most of the existing video coding standards, eg …