Intelligent Image and Video Compression (eBook)

Communicating Pictures

David Bull, Fan Zhang (Autoren)

eBook Download: PDF | EPUB

2021 | 2. Auflage
608 Seiten
Elsevier Science (Verlag)
978-0-12-820354-5 (ISBN)

Infos

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.

Dr. Fan (Aaron) Zhang PhD received the B.Sc. (Hons) and M.Sc. degrees from Shanghai Jiao Tong University (2005 and 2008 respectively), and his Ph.D from the University of Bristol (2012). He is currently a Research Fellow in the Visual Information Laboratory at the University of Bristol, working on video compression and immersive video processing. His research interests include perceptual video compression, video quality assessment and immersive video formats. Aaron has published over 30 academic papers and has contributed to two books previous books on video compression. His work on super-resolution-based video compression, has contributed to international standardization processes and he was a co-winner of the 2017 IEEE Grand Challenge on Video Compression.

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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. "e;David Bull and Fan Zhang have written a timely and accessible book on the topic of image and video compression. Compression of visual signals is one of the great technological achievements of modern times, and has made possible the great successes of streaming and social media and digital cinema. Their book, Intelligent Image and Video Compression covers all the salient topics ranging over visual perception, information theory, bandpass transform theory, motion estimation and prediction, lossy and lossless compression, and of course the compression standards from MPEG (ranging from H.261 through the most modern H.266, or VVC) and the open standards VP9 and AV-1. The book is replete with clear explanations and figures, including color where appropriate, making it quite accessible and valuable to the advanced student as well as the expert practitioner. The book offers an excellent glossary and as a bonus, a set of tutorial problems. Highly recommended!? --Al Bovik 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

Produkt-Details

• Erscheint lt. Verlag: 8.4.2021
• Sprache: englisch
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• ISBN-10: 0-12-820354-4 / 0128203544
• ISBN-13: 978-0-12-820354-5 / 9780128203545