1. Introduction to Mobile Video Communications
Part I: Introduction to Video Coding
2. Video Coding Fundamentals
3. Video Coding: Standards
Part II: Coding Efficiency
4. Basic Motion Estimation Techniques
5. Warping-Based Motion Estimation Techniques
6. Multiple-Reference Motion Estimation Techniques
Part III: Computational Complexity
7. Reduced-Complexity Motion Estimation Techniques
8. The Simplex Minimization Search
Part IV: Error Resilience
9. Error-Resilience Video Coding Techniques
10. Error Concealment Using Motion Field Interpolation
Appendix A: Fast Block-Matching Algorithms
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
Electrical engineers, computer scientists, and students working in academia and industry on wireless communications
- No. of pages:
- © Academic Press 2003
- 4th April 2002
- Academic Press
- eBook ISBN:
- Hardcover ISBN:
"Furthering the vision of being able to communicate to and from anywhere at any time with any type of information, Al-Mualla (Etisalat College of Engineering) and C. Nishan Canagarajah and David R. Bull ( both communications, U. of Bristol) consider how to enable real-time, mobile video communications by raising coding efficiency, reducing computational complexity, and improving error resilience. Their solutions are based on video source coding, and use a motion-based approach to address the problems." --Book News, Inc.®, Portland, OR
Etisalat College of Engineering, United Arab Emirates
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).
Univeristy of Bristol, U.K.
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.
University of Bristol, U.K.