Intelligent Image and Video Compression: Communicating Pictures, Second Edition explains the requirements, analysis, design and application of a modern video coding system. It draws on the authors’ extensive academic and professional experience in this field to deliver a text that is algorithmically rigorous yet accessible, relevant to modern standards and practical. It builds on a thorough grounding in mathematical foundations and visual perception to demonstrate how modern image and video compression methods can be designed to meet the rate-quality performance levels demanded by today's applications and users, in the context of prevailing network constraints.

Key Features

• An approach that combines algorithmic rigor with practical implementation using numerous worked examples
• Explains how video compression methods exploit statistical redundancies, natural correlations, and knowledge of human perception to improve performance
• Uses contemporary video coding standards (AVC, HEVC and VVC) as a vehicle for explaining block-based compression
• Provides broad coverage of important topics such as visual quality assessment and video streaming

New to this edition:

• Coverage of new, more immersive applications, explaining compression requirements and solutions for HDR and

• UHDTV, VR, AR, and MR

• Description of how we can measure viewer engagement with these applications
• An introduction to machine learning algorithms and coverage of how these can be used to optimize future compression tools
• Inclusion of the latest advances in perceptual metrics, such as VMAF
• Description of new and extended databases for video quality evaluation and for training machine learning systems
• Coverage of recent innovations and standards to support adaptive video streaming
• A review of the perceptual influences of dynamic range including descriptions of perceptual quantization and new
• formats
• A comprehensive coverage of recent compression standards including AV1 and VVC.