Image Sequence Analysis

  • Thomas S. Huang

Part of the Springer Series in Information Sciences book series (SSINF, volume 5)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Introduction and Survey

  3. Image Sequence Coding, Enhancement, and Segmentation

    1. E. Dubois, B. Prasada, M. S. Sabri
      Pages 229-287
    2. T. S. Huang, Y. P. Hsu
      Pages 289-309
    3. B. M. Radig
      Pages 311-354
    4. J. K. Aggarwal, W. N. Martin
      Pages 355-380
  4. Medical Applications

    1. W. Spiesberger, M. Tasto
      Pages 381-428
  5. Back Matter
    Pages 429-440

About this book


The processing of image sequences has a broad spectrum of important applica­ tions including target tracking, robot navigation, bandwidth compression of TV conferencing video signals, studying the motion of biological cells using microcinematography, cloud tracking, and highway traffic monitoring. Image sequence processing involves a large amount of data. However, because of the progress in computer, LSI, and VLSI technologies, we have now reached a stage when many useful processing tasks can be done in a reasonable amount of time. As a result, research and development activities in image sequence analysis have recently been growing at a rapid pace. An IEEE Computer Society Workshop on Computer Analysis of Time-Varying Imagery was held in Philadelphia, April 5-6, 1979. A related special issue of the IEEE Transactions on Pattern Anal­ ysis and Machine Intelligence was published in November 1980. The IEEE Com­ puter magazine has also published a special issue on the subject in 1981. The purpose of this book is to survey the field of image sequence analysis and to discuss in depth a number of important selected topics. The seven chap­ ters fall into two categories. Chapters 2, 3, and 7 are comprehensive surveys on, respectively, the whole field of image sequence analysis, efficient coding of image sequences, and the processing of medical image sequences. In Chapters 1, 4, 5, and 6 the authors present mainly results of their own research on, respectively, motion estimation, noise reduction in image sequences, moving object extraction, and occlusion.


Bildverarbeitung LSI VLSI motion estimation tracking

Editors and affiliations

  • Thomas S. Huang
    • 1
  1. 1.Department of Electrical Engineering and Coordinated Science LaboratoryUniversity of IllinoisUrbanaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1981
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-87039-2
  • Online ISBN 978-3-642-87037-8
  • Series Print ISSN 0720-678X
  • Buy this book on publisher's site
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