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, computer vision and applications; the book includes chapters on learning in image retrieval, facial motion analysis, cloud motion tracking, wavelet coding, robust video transmission, and many other topics. The Appendix contains several reprints of Professor Huang's most influential papers from 1970's to 1990's. This book is directed towards image processing researchers, including academic faculty, graduate students and industry researchers, as well as toward professionals working in application areas.
Contents:
- Developmental Vision, Audition, Robots and Beyond (J Weng et al.)
- A Piecewise Bézier Volume Deformation Model and Its Applications in Facial Motion Capture (H Tao & T S Huang)
- Nonrigid Motion and Structure Analysis from 2D with Application Towards 3D Cloud Tracking (L Zhou et al.)
- Map Structure Recognition and Automatic Map Data Acquisition (Y Liu)
- Learning Visual Concepts for Content Based Retrieval (M S Lew)
- Automated Human Facial Feature Extraction Using Double Resolution Pyramid (L Tang)
- Learning Based Relevance Feedback in Image Retrieval (Y Rui & T Huang)
- Object-Based Subband/Wavelet Video Compression (S-C Han & J W Woods)
- A Computational Approach to Semantic Event Detection in Video (R J Qian et al.)
- Robust Video Transmission for Feedback Channels (S D Blostein & Q Jiang)
- Multidimensional AM–FM Models with Image Processing Applications (M S Pattichis et al.)
- Image Transmission Over Noisy Channels: TCQ-Based Coding Schemes (C W Chen et al.)
Readership: Graduates, academics and researchers in image processing, artificial intelligence, machine perception and neural networks.
Alan Conrad Bovik is the Associate Director of the Center for Vision and Image Sciences and Director of the Laboratory for Image and Video Engineering at the University of Texas at Austin. He has published over 250 technical articles and holds US patents for the image and video compression algorithms VPIC and VPISC. He has also won several awards, including a two-time Honorable Mention winner of the International Pattern Recognition Society Award for Outstanding Contribution.
Chang Wen Chen received the Whitaker Foundation Biomedical Engineering Research Award in 1996 and was the senior author of the 1994 SPIE Best Student Paper for Visual Communication and Image Processing, and the 1999 Michael B Merickel Best Student Award Runner-up for Medical Imaging. He has also consulted with Kodak, Sarnoff and Microsoft Research.
Dmitry B Goldgof is a winner of the USF Outstanding Young Investigator Award and Nineteenth Annual Pattern Recognition Society Award. He has published 35 journals and over 80 conference publications, 12 book chapters and one book. He was involved in the organization of numerous professional conferences and workshops such as CVPR�99 as the General Chair.