Video Coding for Mobile Communications
Efficiency, Complexity and ResilienceBy
- Mohammed Al-Mualla
- C. Canagarajah
- David Bull
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.
Electrical engineers, computer scientists, and students working in academia and industry on wireless communications.
Hardbound, 225 Pages
Published: April 2002
Imprint: Academic Press
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.Â®, Portland, OR
- PrefaceAbout the AuthorsList of Acronyms1. Introduction to Mobile Video CommunicationsPart I: Introduction to Video Coding2. Video Coding Fundamentals3. Video Coding: StandardsPart II: Coding Efficiency4. Basic Motion Estimation Techniques5. Warping-Based Motion Estimation Techniques6. Multiple-Reference Motion Estimation TechniquesPart III: Computational Complexity7. Reduced-Complexity Motion Estimation Techniques8. The Simplex Minimization SearchPart IV: Error Resilience9. Error-Resilience Video Coding Techniques10. Error Concealment Using Motion Field InterpolationAppendix A: Fast Block-Matching AlgorithmsBibliographyIndex