Rate-Quality Optimized Video Coding / Edition 1

Rate-Quality Optimized Video Coding / Edition 1

by Yoo-Sok Saw
     
 

ISBN-10: 0792383761

ISBN-13: 9780792383765

Pub. Date: 11/30/1998

Publisher: Springer US

Rate-Quality Optimized Video Coding discusses the matter of optimizing (or negotiating) the data rate of compressed digital video and its quality, which has been a relatively neglected topic in either side of image/video coding and tele-traffic management. Video rate management becomes a technically challenging task since it is required to maintain a certain video

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Overview

Rate-Quality Optimized Video Coding discusses the matter of optimizing (or negotiating) the data rate of compressed digital video and its quality, which has been a relatively neglected topic in either side of image/video coding and tele-traffic management. Video rate management becomes a technically challenging task since it is required to maintain a certain video quality regardless of the availability of transmission or storage media. This is caused by the broadband nature of digital video and inherent algorithmic features of mainstream video compression schemes, e.g. H.261, H.263 and MPEG series. In order to maximize the media utilization and to enhance video quality, the data rate of compressed video should be regulated within a budget of available media resources while maintaining the video quality as high as possible.
In Part I (Chapters 1 to 4) the non-stationarity of digital video is discussed. Since the non-stationary nature is also inherited from algorithmic properties of international video coding standards, which are a combination of statistical coding techniques, the video rate management techniques of these standards are explored. Although there is a series of known video rate control techniques, such as picture rate variation, frame dropping, etc., these techniques do not view the matter as an optimization between rate and quality. From the view of rate-quality optimization, the quantizer is the sole means of controling rate and quality. Thus, quantizers and quantizer control techniques are analyzed, based on the relationship of rate and quality.
In Part II (Chapters 5 and 6), as a coherent approach to non-stationary video, established but still thriving nonlinear techniques are applied to video rate-quality optimization such as artificial neural networks including radical basis function networks, and fuzzy logic-based schemes. Conventional linear techniques are also described before the nonlinear techniques are explored. By using these nonlinear techniques, it is shown how they influence and tackle the rate-quality optimization problem. Finally, in Chapter 7 rate-quality optimization issues are reviewed in emerging video communication applications such as video transcoding and mobile video. This chapter discusses some new issues and prospects of rate and quality control in those technology areas.
Rate-Quality Optimized Video Coding is an excellent reference and can be used for advanced courses on the topic.

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Product Details

ISBN-13:
9780792383765
Publisher:
Springer US
Publication date:
11/30/1998
Series:
The Springer International Series in Engineering and Computer Science, #486
Edition description:
1999
Pages:
183
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

List of Figures
List of Tables
Preface
Acknowledgments
Foreword
Introduction: Digital video compression and rate adaptation
Pt. IBackground of video rate-quality optimisation
1Non-Stationary Nature of Digital Video3
2Rate-Quality Control in International Standards15
3Quantiser Control for Rate-Quality Optimisation33
4Linear Predictive Video Rate Estimation and Control45
Pt. IINonlinear signal processing approaches to video rate-quality optimisation
5Nonlinear Predictive Video Rate Estimation and Control83
6Fuzzy Logic-Based Video Rate Estimation and Control111
7Advanced Topics147
References163
AppA-Video sequences used in simulations175
Index181

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