Salomon, D.
Data Compression 4th ed.
The Complete Reference
Springer-Verlag 2007.
1092 pp. (H)
ISBN 1-84628-602-6
12,700円
Contents
Prefaces.- 1.Introduction - 2.Basic Techniques.- 3.Statistical Methods.- 4.Dictionary Methods.- 5.Image Compression.- 6.Wavelet Methods.- 7.Video Compression.- 8.Audio Compression.- 9.Other Methods.- 10.Answers to Exercises.- Bibliography.- Glossary.- Joining the Data Compression Community.- Index/
* Data compression is one of the most important tools in modern computing, and there has been tremendous progress in all areas of the field. This fourth edition of Data Compression provides an all-inclusive, thoroughly updated, and user-friendly reference for the many different types and methods of compression (especially audio compression, an area in which many new topics covered in this revised edition appear).
* Among the important features of the book are a detailed and helpful taxonomy, a detailed description of the most common methods, and discussions on the use and comparative benefits of different methods. The book’s logical, clear and lively presentation is organized around the main branches of data compression. *
Adjeroh, D. et al.
The Burrows-Wheeler Transform
Data Compression, Suffix Arrays, and Pattern Matching
Springer-Verlag 2008.7
352 pp.(H)
ISBN 0-387-78908-1
16,400円
Contents
1.Introduction/ 2.How the Burrows-Wheeler Transform works/ 3.Coders for the Burrows-Wheeler Transform/ 4.Suffix trees and suffix arrays/ 5.Suffix Trees/ 6.Analysis of the Burrows-Wheeler Transform/ 7.Variants of the Burrows-Wheeler Transform/ 8.Exact and approximate pattern matching/ 9.Other applications of the Burrows-Wheeler Transform/ 10.Conclusion/ 11.Notation/ 12.Ongoing work on the Burrows-Wheeler Transform/ 13.BWT-related web sites/ 14.Ph.D. theses relating to the Burrows-Wheeler Transform/ References/ Index/ *
Shum, H.-Y. et al.
Image-Based Rendering
Springer-Verlag 2007.
408 pp. (H)
ISBN 0-387-21113-6
11,600円
Contents
Foreword.- Preface.- Acknowledgements.- Introduction.- Part I: Basic Concepts: Direct Image Representations.- Representations with Explicit Geometry.- Rendering Dynamic Scenes.- Representation and Rendering Issues.- Part II: Sampling: Plenoptic Sampling.- A Geometric Analysis of Light Field Rendering.- Sampling in Dual Space.- Bibliography.- Part III: Compression: Data Compression Techniques.- Image and Video Compression.- Compression of Static Image-based Representations.- Compression of Dynamic Image-based Representations.- Part IV: Systems and Applications: Rendering by Manifold Hopping.- Large Environment Rendering Using Plenoptic Primitives.- Pop-Up Light Field: An Interactive Image-based Modeling and Rendering System.- Feature-based Light Field Morphing.- Concluding Remarks.- Bibliography. *
* Image-based rendering (IBR) refers to a collection of techniques and representations that allow 3D scenes and objects to be visualized in a realistic way without full 3D model reconstruction. IBR uses images as the primary substrate. The potential for photorealistic visualization has tremendous appeal, and it is thus not surprising that IBR has been receiving increasing attention over the years. Applications such as video games, virtual travel, and E-commerce stand to benefit from this technology. Image-Based Rendering examines the theory, practice, and applications associated with image-based rendering and modeling. The authors bring together their backgrounds and research experiences in computer graphics, computer vision and signal processing to address the multi-disciplinary nature of IBR research. *
995-6 登録日 08.12.15
