David Bull (UK University of Bristol), Fan Zhang (UK University of Bristol)
Intelligent Image and Video Compression
Communicating Pictures
David Bull (UK University of Bristol), Fan Zhang (UK University of Bristol)
Intelligent Image and Video Compression
Communicating Pictures
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Previous edition: published as Communicating pictures by David R. Bull. 2014.
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Produktdetails
- Produktdetails
- Verlag: Elsevier Science Publishing Co Inc
- 2 ed
- Seitenzahl: 608
- Erscheinungstermin: 9. April 2021
- Englisch
- Abmessung: 192mm x 235mm x 32mm
- Gewicht: 1178g
- ISBN-13: 9780128203538
- ISBN-10: 0128203536
- Artikelnr.: 58456285
- Verlag: Elsevier Science Publishing Co Inc
- 2 ed
- Seitenzahl: 608
- Erscheinungstermin: 9. April 2021
- Englisch
- Abmessung: 192mm x 235mm x 32mm
- Gewicht: 1178g
- ISBN-13: 9780128203538
- ISBN-10: 0128203536
- Artikelnr.: 58456285
Professor David R. Bull PhD, FIET, FIEEE, CEng. obtained his PhD from the University of Cardiff in 1988. He currently holds the Chair in Signal Processing at the University of Bristol where he is head of the Visual Information Laboratory and Director of Bristol Vision Institute, a group of some 150 researchers in vision science, spanning engineering, psychology, biology, medicine and the creative arts. In 1996 David helped to establish the UK DTI Virtual Centre of Excellence in Digital Broadcasting and Multimedia Technology and was one of its Directors from 1997-2000. He has also advised Government through membership of the UK Foresight Panel, DSAC and the HEFCE Research Evaluation Framework. He is also now Director of the UK Government's new MyWorld Strength in Places programme. David has worked widely across image and video processing focused on streaming, broadcast and wireless applications. He has published over 600 academic papers, various articles and 4 books and has given numerous invited/keynote lectures and tutorials. He has also received awards including the IEE Ambrose Fleming Premium for his work on Primitive Operator Digital Filters and a best Paper Award for his work on Link Adaptation for Video Transmission. David's work has been exploited commercially and he has acted as a consultant for companies and governments across the globe. In 2001, he co-founded ProVision Communication Technologies Ltd., who launched the world's first robust multi-source wireless HD sender for consumer use. His recent award-winning and pioneering work on perceptual video compression using deep learning, has produced world-leading rate-quality performance.
1. Introduction 2. The human visual system 3. Signal processing and
information theory fundamentals 4. Digital picture formats and
representations 5. Transforms for image and video coding 6. Filter banks
and wavelet compression 7. Lossless compression methods 8. Coding moving
pictures: Motion prediction 9. The block-based hybrid video codec 10.
Measuring and managing picture quality 11. Communicating pictures: Delivery
across networks 12. Video coding standards and formats 13. Communicating
pictures - the future
information theory fundamentals 4. Digital picture formats and
representations 5. Transforms for image and video coding 6. Filter banks
and wavelet compression 7. Lossless compression methods 8. Coding moving
pictures: Motion prediction 9. The block-based hybrid video codec 10.
Measuring and managing picture quality 11. Communicating pictures: Delivery
across networks 12. Video coding standards and formats 13. Communicating
pictures - the future
1. Introduction 2. The human visual system 3. Signal processing and
information theory fundamentals 4. Digital picture formats and
representations 5. Transforms for image and video coding 6. Filter banks
and wavelet compression 7. Lossless compression methods 8. Coding moving
pictures: Motion prediction 9. The block-based hybrid video codec 10.
Measuring and managing picture quality 11. Communicating pictures: Delivery
across networks 12. Video coding standards and formats 13. Communicating
pictures - the future
information theory fundamentals 4. Digital picture formats and
representations 5. Transforms for image and video coding 6. Filter banks
and wavelet compression 7. Lossless compression methods 8. Coding moving
pictures: Motion prediction 9. The block-based hybrid video codec 10.
Measuring and managing picture quality 11. Communicating pictures: Delivery
across networks 12. Video coding standards and formats 13. Communicating
pictures - the future