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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Motion estimation is a central part of MPEG-1/2/4 and H.261/H.263 video compression standards and has attracted much attention in research and industry, for the following reasons: it is computationally the most demanding algorithm of a video encoder (about 60-80% of the total computation time), it has a high impact on the visual quality of a video encoder, and it is not standardized, thus being open to competition.
Algorithms, Complexity Analysis, and VLSI Architectures for MPEG-4 Motion Estimation covers in detail every single step in the design of a MPEG-1/2/4 or H.261/H.263 compliant video encoder:
- Fast motion estimation algorithms
- Complexity analysis tools
- Detailed complexity analysis of a software implementation of MPEG-4 video
- Complexity and visual quality analysis of fast motion estimation algorithms within MPEG-4
- Design space on motion estimation VLSI architectures
- Detailed VLSI design examples of (1) a high throughput and (2) a low-power MPEG-4 motion estimator.
Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation is an important introduction to numerous algorithmic, architectural and system design aspects of the multimedia standard MPEG-4. As such, all researchers, students and practitioners working in image processing, video coding or system and VLSI design will find this book of interest.
Authors and Affiliations
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Technical University of Munich, Germany
Peter Kuhn
Bibliographic Information
Book Title: Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
Authors: Peter Kuhn
DOI: https://doi.org/10.1007/978-1-4757-4474-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1999
Hardcover ISBN: 978-0-7923-8516-5Published: 30 June 1999
Softcover ISBN: 978-1-4419-5088-8Published: 03 December 2010
eBook ISBN: 978-1-4757-4474-3Published: 29 June 2013
Edition Number: 1
Number of Pages: VIII, 240
Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Electrical Engineering, Computer Imaging, Vision, Pattern Recognition and Graphics, Multimedia Information Systems