341 citations · 1.9k across the 24 of their papers we have counts for
7 papers · 1 filter
Deep Learning-Based Video Coding: A Review and A Case Study
Dong Liu, Yue Li, Jianping Lin +2
The past decade has witnessed great success of deep learning technology in many disciplines, especially in computer vision and image processing. However, deep learning-based video…
Learning for Video Compression
Zhibo Chen, Tianyu He, Xin Jin +1
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…
Neural network-based arithmetic coding of intra prediction modes in HEVC
Rui Song, Dong Liu, Houqiang Li +1
In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC) is adopted as the entropy coding method. CABAC relies on manually designed binarization processes as well…
A Convolutional Neural Network Approach for Half-Pel Interpolation in Video Coding
Ning Yan, Dong Liu, Houqiang Li +1
Motion compensation is a fundamental technology in video coding to remove the temporal redundancy between video frames. To further improve the coding efficiency, sub-pel motion com…
An Efficient Four-Parameter Affine Motion Model for Video Coding
Li Li, Houqiang Li, Dong Liu +4
In this paper, we study a simplified affine motion model based coding framework to overcome the limitation of translational motion model and maintain low computational complexity.…
Convolutional Neural Network-Based Block Up-sampling for Intra Frame Coding
Yue Li, Dong Liu, Houqiang Li +4
Inspired by the recent advances of image super-resolution using convolutional neural network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding. A block…
A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding
Yuanying Dai, Dong Liu, Feng Wu
Lossy image and video compression algorithms yield visually annoying artifacts including blocking, blurring, and ringing, especially at low bit-rates. To reduce these artifacts, po…