Fan Zhang
Intelligent Image and Video Compression
Communicating Pictures
Ebook (EPUB Format)
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 n…
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Beschreibung
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.
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Produktdetails
Weitere Autoren: Bull, David
- ISBN: 978-0-12-820354-5
- EAN: 9780128203545
- Produktnummer: 36160741
- Verlag: Elsevier Science & Techn.
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 608 S.
- Plattform: EPUB
- Masse: 80'979 KB
- Auflage: 2. Auflage
- Abbildungen: Approx. 150 illustrations (50 in full color)
Über den Autor
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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