 |
Efficient Algorithms for MPEG Video Compression
Be the First to Write a Review and tell the world about this title!Books on similar topics, in best-seller order: Books from the same publisher, in best-seller order:
A practical approach to effective video compression through lexicographic bit-rate
control
Video compression is a topic of increasing importance in a world where multimedia
technologies and massive data sets are threatening to overflow the capacity
of even the most powerful of today’s computers. Internet as well as business
applications such as videoconferencing, video-on-demand, and digital cable television
all use compression techniques, either to decrease the required bandwidth for
an application or to send more data through a bottleneck in the system. Buffering
is used at both ends of the transmission to make the communication less "bursty."
The interplay between compression and buffer control algorithms in order to
address these performance problems and maintain high visual clarity has shown
great results, and Efficient Algorithms for MPEG Video Compression is the first
book dedicated to the subject. The authors, both experts in the field of compression
technologies and algorithm design, present some of the most promising algorithms
for converting raw data to a compressed form for efficient broadcast.
A must for both students and practitioners alike in the telecommunications,
broadcast, and Internet industries, this book:
- Details proven techniques for optimizing the quality of MPEG video encoding
- Illustrates theoretical concepts with practical examples
- Provides extensive simulation results in the form of plots and tables
- Includes a useful introduction to the basics of video compression
Features:
Covers video compression techniques that will be of great use in the telecommunications,
broadcast, and Internet industries.
- Illustrates theoretical concepts with practical examples.
- Discusses the trade-offs that have to be made in designing new systems.
DZUNG TIEN HOANG is a video algorithm development manager at iCompression,
a subsidiary of Globespan. With a PhD from Brown University, he has also held
positions at Digital Video Systems and Sony Electronics.
JEFFREY SCOTT VITTER is the Gilbert, Louis, and Edward Lehrman Professor of
Computer Science at Duke University. With a PhD from Stanford University, he
is a National Science Foundation Presidential Young Investigator, a Fulbright
Scholar, a Guggenheim Fellow, an IBM Faculty Development Awardee, and a Fellow
of both the ACM and IEEE. He also holds several patents in the fields of external
sorting, prediction, and approximate data structures.
|
|
