Video Coding for Mobile Communications: Efficiency, Complexity and Resilience

Front Cover

In order for wireless devices to function, the signals must be coded in standard ways so that the sender and the receiver can communicate. This area of video source coding is one of the key challenges in the worldwide push to deliver full video communications over wireless devices. Video Coding for Mobile Communications reviews current progress in this field and looks at how to solve some of the most important technology issues in the months and years ahead.

The vision of being able to communicate from anywhere, at any time, and with any type of information is on its way to becoming reality. This natural convergence of mobile communications and multimedia is a field that is expected to achieve unprecedented growth and commercial success. Current wireless communication devices support a number of basic multimedia services (voice, messages, basic internet access), but have coding problems that need to be solved before "real-time" mobile video communication can be achieved.

  • Addresses the emerging field of mobile multimedia communications
 

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Contents

Chapter 1 Introduction to Mobile Video Communications
1
Introduction to Video Coding
7
Coding Efficiency
91
Computational Complexity
157
Error Resilience
203
Appendix A Fast BlockMatching Algorithms
259
Bibliography
267
Index
283
Copyright

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About the author (2002)

Nishan Canagarajah, Ph.D., has been a lecturer in Digital Signal Processing at Bristol since March 1994. Prior to this he was employed as a Research Assistant at Bristol investigating DSP aspects of mobile radio receivers. He has a BA in engineering and a Ph.D., both from the University of Cambridge. His current research interests include image and video coding, speech processing, non-linear filtering techniques and the application of signal processing to medical electronics. He has worked closely with several companies in the fields of signal processing and image coding and has published numerous journal and conference papers in these areas. Dr. Canagarajah is actively involved in the UK VCE in Digital Broadcasting and Multimedia Technology. He is a member of IEE Professional Group E5 (Signal Processing).

David Bull is the Chair in Signal Processing and Head of the Visual Information Laboratory at the University of Bristol, and Director of the Bristol Vision Institute. His research interests are focused on image and video communications and analysis for wireless, internet and broadcast applications. He has published over 450 academic papers, various articles, three books and numerous patents, many of which have been exploited commercially. He has undertaken a wide range of consultation activities for both industries and governments around the world.