Overview

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. This important new book 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.

Full Product Details

Author:   Mohammed E. Al-Mualla (Etisalat College of Engineering, United Arab Emirates) ,  C. Nishan Canagarajah (Univeristy of Bristol, U.K.) ,  David Bull (University of Bristol, UK)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 15.10cm , Height: 2.20cm , Length: 22.90cm
Weight:   0.620kg
ISBN:  

9780120530793

ISBN 10:   0120530791
Pages:   225
Publication Date:   13 May 2002
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   In Print  
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

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

Reviews

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.(r), Portland, OR

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.(R), Portland, OR

Author Information

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 Professor of Signal Processing and Deputy Director of the Centre for Communications Research at the University of Bristol, UK. He leads the Image Communications Group in the Centre for Communications Research at Bristol and is also Deputy Directory of the CCR. Prior to taking up his post at Bristol in 1992 he was an Electronic Systems Engineer at Rolls Royce and subsequently a University Lecturer at The University of Wales. He has worked widely in the fields of 1 and 2-D signal processing and has published over 150 papers in these areas. He has received two premium awards for his research papers and holds several patents. He is currently a Director of the Virtual Centre of Excellence in Digital Broadcasting and Multimedia Technology and is also a member of the Programme Management Committee for the EPSRC/DTI LINK program in Broadcast Technology.

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