Advances in Image Processing and Understanding : A Festschrift for Thomas S. Huang

by Bovik, Alan C.; Chen, Chang Wen; Goldgof, Dmitry B.; Huang, Thomas S.

• ISBN13: 9789812380913
• ISBN10: 9812380914
• Format: Hardcover
• Copyright: 2003-01-01
• Publisher: WORLD SCIENTIFIC PUB CO INC

Summary

This volume of original papers has been assembled to honor the achievements of Professor Thomas S. Huang in the area of image processing and image analysis. Professor Huang's life of inquiry has spanned a number of decades as his work on imaging problems began in 1960's. Over these 40 years, he has made many fundamental and pioneering contributions to nearly every area of this field. Professor Huang has received numerous Awards, including the prestigious Jack Kilby Signal Processing Medal from IEEE. He has been elected to the National Academy of Engineering, and named Fellow of IEEE, Fellow of OSA, Fellow of IAPR, and Fellow of SPIE. Professor Huang has made fundamental contributions to image processing, pattern recognition, and computer vision: including design and stability test of multidimensional digital filters, digital holography; compression techniques for documents and images; 3D motion and modeling, analysis and visualization of the human face, hand and body, multi-modal human-computer interfaces; and multimedia databases. Many of his research ideas have been seminal, opening up new areas of research. Professor Huang is continuing his contribution to the field in the new millennium!This book is intended to highlight his contributions by showing the breadth of areas in which his students are working. As such, contributed chapters were written by some of his many former graduate students (some with Professor Huang as a coauthor) and illustrate not only his contributions to imaging science but also his commitment to educational endeavor. The breadth of contributions is an indication of influence of Professor Huang to the field of signal processing, image processing, computervision and applications; the book includes chapters on learning in image retrieval, facia

Table of Contents

Developmental Vision, Audition, Robots and Beyond	p. 1
A Piecewise Bezier Volume Deformation Model and Its Applications in Facial Motion Capture	p. 39
Nonrigid Motion and Structure Analysis from 2D with Application Towards 3D Cloud Tracking	p. 57
Map Structure Recognition and Automatic Map Data Acquisition	p. 89
Learning Visual Concepts for Content Based Retrieval	p. 125
Automated Human Facial Feature Extraction Using Double Resolution Pyramid	p. 141
Learning Based Relevance Feedback in Image Retrieval	p. 163
Object-Based Subband/Wavelet Video Compression	p. 183
A Computational Approach to Semantic Event Detection in Video	p. 199
Robust Video Transmission for Feedback Channels	p. 237
Multidimensional AF-FM Models with Image Processing Applications	p. 277
Image Transmission Over Noisy Channels: TCQ-Based Coding Schemes	p. 307
Motion and Structure from Feature Correspondences: A Review (Reprint)	p. 331
Toward Multimodal Human-Computer Interface (Reprint)	p. 349
Image Processing (Reprint)	p. 367
Table of Contents provided by Blackwell. All Rights Reserved.