Versatile Video Coding (VVC): Machine Learning and Heuristics

Foreword
Acknowledgements
Contents
1 Introduction
	References
2 Versatile Video Coding (VVC)
	2.1 Basic Video Coding Concepts
	2.2 VVC: A Hybrid Video Encoder
	2.3 VVC Frames Organization and Block Partitioning
	2.4 VVC Encoding Tools
		2.4.1 VVC Prediction Tools
		2.4.2 VVC Residual Coding and Entropy Coding
		2.4.3 VVC In-Loop Filters
	2.5 VVC Common Test Conditions
	References
3 VVC Intra-frame Prediction
	3.1 Angular Intra-prediction
	3.2 Multiple Reference Line Prediction
	3.3 Matrix-Based Intra-prediction
	3.4 Intra-sub-partition
	3.5 Encoding of Chrominance CBs
	3.6 Transform Coding
	References
4 State-of-the-Art Overview
	References
5 Performance Analysis of VVC Intra-frame Prediction
	5.1 Methodology
	5.2 VVC Versus HEVC: Intra-frame Compression Performance and Computational Effort Evaluation
	5.3 VVC Intra-frame Computational Effort Distribution of Luminance and Chrominance Channels
	5.4 VVC Intra-frame Block Size Analysis
	5.5 VVC Intra-frame Encoding Mode Analysis
	5.6 VVC Intra-frame Encoding Transform Analysis
	5.7 Rate-Distortion and Computational Effort of VVC Intra-frame Coding Tools
	5.8 General Discussion
	References
6 Heuristic-Based Fast Multi-type Tree Decision Scheme for Luminance
	6.1 Initial Analysis
	6.2 Designed Scheme
	6.3 Results and Discussion
	References
7 Light Gradient Boosting Machine Configurable Fast Block Partitioning for Luminance
	7.1 Background on LGBM Classifiers
	7.2 Methodology
	7.3 Features Analysis and Selection
	7.4 Classifiers Training and Performance
	7.5 Classifiers Integration
	7.6 Results and Discussion
	References
8 Learning-Based Fast Decision for Intra-frame Prediction Mode Selection for Luminance
	8.1 Fast Planar/DC Decision Based on Decision Tree Classifier
	8.2 Fast MIP Decision based on Decision Tree Classifier
	8.3 Fast ISP Decision Based on the Block Variance
	8.4 Learning-Based Fast Decision Design
	8.5 Results and Discussion
	References
9 Fast Intra-frame Prediction Transform for Luminance Using Decision Trees
	9.1 Fast MTS Decision Based on Decision Tree Classifier
	9.2 Fast LFNST Decision Based on Decision Tree Classifier
	9.3 Fast Transform Decision Design
	9.4 Results and Discussion
	References
10 Heuristic-Based Fast Block Partitioning Scheme for Chrominance
	10.1 Chrominance CB Splitting Early Termination Based on Luminance QTMT
	10.2 Fast Chrominance Split Decision Based on Variance of Sub-blocks
	10.3 Fast Block Partitioning Scheme for Chrominance Coding Design
	10.4 Results and Discussion
	References
11 Conclusions and Open Research Possibilities
Index