- Chapter 1 Introduction to Image and Video Coding .- 1.1 Basic Concept of Image and Video Data .- 1.2 Representative Image and Video Datasets .- 1.3 AI-based Compression Requirement for Image and Video .- 1.
4 Image and Video Coding Performance Evaluation .- 1.5 Organization of This Book .- 1.6 Summary .- Chapter 2 Fundamentals for Deep Learning-based Image and Video Coding .- 2.1 Introduction .
- 2.2 Fundamental Knowledge of Deep Learning .- 2.3 Autoencoder and Variational Autoencoder .- 2.4 Principles and Framework of Deep Learning-based Image and Video Coding .- 2.5 Summary .
- Chapter 3 Image and Video Quality Assessment and Perception Models .- 3.1 Introduction .- 3.2 Quality Assessment of Image and Video .- 3.3 Just Noticeable Distortion of Image and Video .- 3.
4 Visual Attention Modeling of Image and Video .- 3.5 Comparative Analysis .- 3.6 Summary .- Chapter 4 Deep Learning-based Image Coding .- 4.1 Introduction .
- 4.2 Representative Methods of Lossless Image Coding .- 4.3 Representative Methods of Lossy Image Coding .- 4.4 Comparative Analysis .- 4.5 Summary .
- Chapter 5 Deep Learning-based Video Coding .- 5.1 Introduction .- 5.2 Framework and Key Components .- 5.3 Representative Methods of Video Coding .- 5.
4 Comparative Analysis .- 5.5 Summary .- Chapter 6 Deep Learning-based 3D and Multimodal Coding .- 6.1 Introduction .- 6.2 Overall Framework and Datasets .
- 6.3 Representative Methods of 3D and Multimodal Coding .- 6.4 Comparative Analysis .- 6.5 Summary .- Chapter 7 Human and Machine Vision-Oriented Image and Video Coding .- 7.
1 Introduction .- 7.2 Representative Methods of Human Perception-based Coding .- 7.3 Representative Methods of Machine Perception-based Coding .- 7.4 Comparative Analysis .- 7.
5 Summary .- Chapter 8 Compression Artifacts Removal for Image and Video Coding .- 8.1 Introduction .- 8.2 Representative Methods of Compressed Image Artifacts Reduction .- 8.3 Representative Methods of Compressed Video Artifacts Reduction .
- 8.4 Comparative Analysis .- 8.5 Summary .- Chapter 9 Deep Learning-based Image and Video Coding Standards .- 9.1 Introduction .- 9.
2 Overview of International Standards .- 9.3 IEEE AI-based Image and Video Coding Standard .- 9.4 JPEG AI-based Image and Video Coding Standard .- 9.5 MPEG Video Coding for Machines Standard .- 9.
6 MPAI End-to-End Video Coding Standard .- 9.7 Comparative Analysis .- 9.8 Summary .- Chapter 10 Implementations for Deep Learning-based Image and Video Coding .- 10.1 Introduction .
- 10.2 Basics of Neural Network Compression .- 10.3 Software and Hardware Platforms for Acceleration .- 10.4 Lightweight Methods for Deep Compression Network .- 10.5 Comparative Analysis .
- 10.6 Summary .- Chapter 11 Open Source Projects for Deep Learning-based Image and Video Coding .- 11.1 Introduction .- 11.2 Representative Open Source Projects for Image Coding .- 11.
3 Representative Open Source Projects for Video Coding .- 11.4 Comparative Analysis .- 11.5 Summary .- Chapter 12 Future Works for AI-based Image and Video Coding .- 12.1 Future Work on Quality Assessment and Perception Models for Image and Video .
- 12.2 Future Work on Deep Learning-based for Image Coding .- 12.3 Future Work on Deep Learning-based for Video Coding .- 12.4 Future Work on Deep Learning-based for 3D and Multimodal Coding .- 12.5 Future Work on Human and Machine Vision Oriented Image and Video Coding .
- 12.6 Future Work on Compression Artifacts Removal for Image and Video Coding .- 12.7 Future Work on Deep Learning-based Image and Video Coding Standards .- 12.8 Future Work on Implementations for Deep Learning-based Image and Video Coding .- 12.9 Future Work on Open Source Projects for Deep Learning-based Image and Video Coding.