Nonlinear Model-Based Image/Video Processing and Analysis

A comprehensive survey of techniques and applications in image andvideo processing and analysis

A widely varied selection of experts provides extensive coverage ofnonlinear model-based techniques in image and video processing andanalysis. This volume not only details new techniques in stillimage and digital video but also discusses applications in computervision, multimedia, and visual information retrieval systems. Allnonlinear, model-based techniques are detailed, and a complete andup-to-date accounting of the most important and effectivealgorithms is included for every application and techniquediscussed.

The applications described also include such real-world uses asmultimedia information retrieval, automatic surveillance, liptracking, and much more. Analytical techniques such as Boolean andstack filters, rational functions, mathematical morphologytechniques, and adaptive order statistic filtering receive detailedtreatment as they apply to specific uses such as image compression,segmentation, old motion picture restoration, image/videointerpolation, and noise smoothing.

Chapters include:
* Optimal Design of Boolean and Stack Filters and Their Applicationin Image Processing
* Image Processing Using Rational Functions
* Mathematical Morphology and Motion Picture Restoration
* Adaptive Order Statistic Filtering of Still Images and ImageSequences
* Video Segmentation Based on Multiple Features for Interactive andAutomatic Multimedia Applications
* Invariant Features in Pattern Recognition-Fundamentals andApplications
* Image Models for Facial Feature Tracking

Students, engineers, and scientists will appreciate both the widerange of expert opinion in this comprehensive volume and thedetailed coverage of the algorithms and mathematical models used instate-of-the-art image and video processing. Preface.

Introduction to Nonlinear Model-Based Image/Video Processing andAnalysis (C. Kotropoulos & I. Pitas).

Optimal Design of Boolean and Stack Filters and Their Applicationin Image Processing (D. Petrescu, et al.).

Image Processing Using Rational Functions (G. Ramponi, et al.).

Mathematical Morphology and Motion Picture Restoration (E.Ferrandiere).

Adaptive Order Statistic Filtering of Still Images and VideoSequences (C. Kotropoulos & I. Pitas).

Video Segmentation Based on Multiple Features for Interactive andAutomatic Multimedia Applications (R. Castagno, et al.).

Invariant Features in Pattern Recognition-- Fundamentals andApplications (H. Burkhardt & S. Siggelkow).

Image Models for Facial Feature Tracking (D. Shah & S.Marshall).

Index. "Explains nonlinear model-based techniques...with descriptions of new techniques in still image and digital video and discussion on applications...all nonlinear, model-based techniques are detailed, and a complete accounting of the most important and effective algorithms is included for every application..." (SciTech Book News, Vol. 25, No. 3, September 2001) CONSTANTINE KOTROPOULOS is a lecturer in the Department ofInformatics at Aristotle University of Thessaloniki in Greece.
IOANNIS PITAS is Professor in the Department of Informatics at thesame university. A comprehensive survey of techniques and applications in image and video processing and analysis

A widely varied selection of experts provides extensive coverage of nonlinear model-based techniques in image and video processing and analysis. This volume not only details new techniques in still image and digital video but also discusses applications in computer vision, multimedia, and visual information retrieval systems. All nonlinear, model-based techniques are detailed, and a complete and up-to-date accounting of the most important and effective algorithms is included for every application and technique discussed.

The applications described also include such real-world uses as multimedia information retrieval, automatic surveillance, lip tracking, and much more. Analytical techniques such as Boolean and stack filters, rational functions, mathematical morphology techniques, and adaptive order statistic filtering receive detailed treatment as they apply to specific uses such as image compression, segmentation, old motion picture restoration, image/video interpolation, and noise smoothing.

Chapters include:

• Optimal Design of Boolean and Stack Filters and Their Application in Image Processing
• Image Processing Using Rational Functions
• Mathematical Morphology and Motion Picture Restoration
• Adaptive Order Statistic Filtering of Still Images and Image Sequences
• Video Segmentation Based on Multiple Features for Interactive and Automatic Multimedia Applications
• Invariant Features in Pattern Recognition–Fundamentals and Applications
• Image Models for Facial Feature Tracking

Students, engineers, and scientists will appreciate both the wide range of expert opinion in this comprehensive volume and the detailed coverage of the algorithms and mathematical models used in state-of-the-art image and video processing.