"Convolutional Neural Network"

Modeling Acceleration Properties for Flexible INTRA HEVC Complexity Control

It is a very well-known fact, that the high complexity of the High Efficiency Video Coding standard (HEVC) is the main hurdle for its wide deployment and use. To tackle this problem, a number of recent research outcomes exploit heuristic algorithms …

DVRCNN: Dark Video Post-processing Method for VVC

Low-light videos are usually accompanied with acquisition noise, motion blur and some other specific distortions, which makes it hard to compress by the video coding technologies and generates less satisfying compressed videos. In order to enhance …

CNN Accelerated Intra Video Coding, Where Is the Upper Bound?

The very high complexity of the High Efficiency Video Coding standard (HEVC) is the main hurdle for its wide deployment and use. To tackle this problem, a number of recent research outcomes exploit Convolutional Neural Network (CNN) in each HEVC …

Advanced CNN Based Motion Compensation Fractional Interpolation

Fractional-sample precision motion compensation has been widely adopted in a series of video coding standards to further improve compression efficiency. Usually, signal decomposition based interpolation filters are used to generate fractional samples …