Data Management and Internet Computing for Image/Pattern Analysis

  • David Zhang
  • Xiaobo Li
  • Zhiyong Liu

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Overview

    1. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 1-13
  3. Software Management: Models & Algorithms

    1. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 15-31
    2. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 33-61
    3. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 63-75
    4. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 77-95
    5. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 97-113
    6. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 115-132
  4. Hardware Management: Architectures & Resource Sharing

    1. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 133-149
    2. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 151-165
    3. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 167-194
    4. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 195-220
    5. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 221-263
  5. Typical Examples: Applications & Implementations

    1. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 265-296
    2. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 297-315
    3. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 317-329
    4. David Zhang, Xiaobo Li, Zhiyong Liu
      Pages 331-359
  6. Back Matter
    Pages 361-367

About this book

Introduction

Data Management and Internet Computing for Image/Pattern Analysis focuses on the data management issues and Internet computing aspect of image processing and pattern recognition research. The book presents a comprehensive overview of the state of the art, providing detailed case studies that emphasize how image and pattern (IAP) data are distributed and exchanged on sequential and parallel machines, and how the data communication patterns in low- and higher-level IAP computing differ from general numerical computation, what problems they cause and what opportunities they provide. The studies also describe how the images and matrices should be stored, accessed and distributed on different types of machines connected to the Internet, and how Internet resource sharing and data transmission change traditional IAP computing.
Data Management and Internet Computing for Image/Pattern Analysis is divided into three parts: the first part describes several software approaches to IAP computing, citing several representative data communication patterns and related algorithms; the second part introduces hardware and Internet resource sharing in which a wide range of computer architectures are described and memory management issues are discussed; and the third part presents applications ranging from image coding, restoration and progressive transmission.
Data Management and Internet Computing for Image/Pattern Analysis is an excellent reference for researchers and may be used as a text for advanced courses in image processing and pattern recognition.

Keywords

algorithms architectures coding communication data transmission fractal image processing image restoration noise parallel processing pattern pattern recognition

Authors and affiliations

  • David Zhang
    • 1
  • Xiaobo Li
    • 2
  • Zhiyong Liu
    • 3
  1. 1.Hong Kong Polytechnic UniversityHong Kong
  2. 2.University of AlbertaCanada
  3. 3.National Natural Science Foundation of ChinaChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1527-2
  • Copyright Information Springer-Verlag US 2001
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5598-4
  • Online ISBN 978-1-4615-1527-2
  • Series Print ISSN 1566-0710
  • About this book