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