Communicating Pictures: A Course in Image and Video Coding - Tapa dura

Acerca del autor

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.

De la contraportada

Communicating Pictures starts with a unique historical perspective of the role of images in communications and then builds on this to explain the applications and requirements of a modern video coding system. It draws on the author's extensive academic and professional experience of signal processing and video coding to deliver a text that is algorithmically rigorous, yet accessible, relevant to modern standards, and practical. It offers a thorough grounding in visual perception, and demonstrates how modern image and video compression methods can be designed in order to meet the rate-quality performance levels demanded by today's applications, networks and users.

• The limits of human visual performance and how visual redundancy can be exploited to reduce bitrate and improve rate-distortion performance

• How transform based methods can be used to effect spatial decorrelation and how motion estimation can be used to effect temporal decorrelation

• How these are integrated, together with efficient symbol encoding methods, into the hybrid block-based coding architecture that is employed in all modern video compression standards, with particular focus on the features used in H.264/AVC and HEVC

• About practical issues when implementing a codec, such as picture boundary extension and complexity reduction, with particular emphasis on efficient algorithms for transforms, motion estimators and error resilience

• About the conflicts between conventional video compression, based on variable length coding and spatiotemporal prediction, and the requirements for error resilient transmission

• About the pitfalls associated with the transmission of real-time video over networks (wireless and fixed), showing how transmission errors influence a codec and how to mitigate their impact

• How to assess the quality of coded images and video content, both through subjective trials and by using perceptually optimised objective metrics

• About the features, operation and performance of the state-of-the-art High Efficiency Video Coding (HEVC) standard

About future trends and the demands for more immersive video formats, including a discussion of potential solutions based on parametric and region-based compression methods