AI-based Image and Video Coding: Methods, Standards, and Applications

AI-based Image and Video Coding: Methods, Standards, and Applications is a focused, research-driven look at how deep learning is reshaping compression for images, video, and related multimedia systems. Wei Gao brings together the fundamentals and the newer AI-based methods in a single volume, making the book useful for readers who want both the theoretical background and the practical direction of the field.

From classic coding principles to neural compression

The opening chapters establish the core ideas behind image and video coding, then build the deep learning foundation needed to understand modern learned compression. That progression gives the book a clear rhythm: first the traditional framework, then the AI methods that are pushing beyond it.

Quality, perception, and coding performance

A major strength of the book is its attention to quality assessment and perceptual modeling. Rather than treating compression as a purely technical exercise, it also considers how image and video quality is judged, how human perception affects design choices, and why objective and subjective measures both matter.

Deep learning methods in practice

Substantial sections are devoted to deep learning-based image coding and video coding, including the key components and typical method families used in learned compression. The book also extends into more specialized topics such as 3D and multimodal coding, human- and machine-perception-oriented codec design, and compression artifact removal.

Standards, implementation, and open-source work

For readers who want more than theory, the book also discusses standards activity, implementation considerations, and open-source projects. That makes it especially valuable for anyone tracking how AI-based compression moves from research papers toward deployable systems.

Who this book will speak to

• Researchers working in multimedia coding, neural compression, or computer vision
• Graduate students studying image and video compression
• Engineers interested in standards, codecs, and practical deployment
• Readers looking for a structured overview of AI-driven advances in visual data coding

Clear in scope and current in subject matter, this is a strong reference point for understanding where AI-based image and video coding stands today—and how the field is evolving.