Academic Press Intelligent Image and Video Compression: Communicating Pictures

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.