Advances In Image Processing & Understanding: A Festschrift For Thomas S Huang (Series In Machine Perception And Artificial Intelligence 52)

Advances In Image Processing & Understanding: A Festschrift For Thomas S Huang (Series In Machine Perception And Artificial Intelligence 52)

By: Chang-wen Chen (editor), Dmitry Goldgof (editor), Alan C. Bovik (editor)Hardback

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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.


Learning based relevance feedback in image retrieval, Y. Rui and T. Huang; piecewise Bezier volume deformation model and its applications in facial motion capturing, H. Tao and T. Huang; tracking nonrigid motion structure from 2D satellite cloud images without correspondences, L. Zhou et al; learning visual concepts for content based retrieval, M. Lew; map structure recognition and automatic map data acquisition, Y. Liu; human facial feature extraction using double resolution pyramid, L. Tang; developmental vision, audition, robots and beyond, J. Weng and W.-S. Hwang; scalable object-based 3-D subband/wavelet coding of video, S. Han and J. Woods; a computational approach to semantic event detection in video, R. Qian et al; robust video transmission for feedback channels, S. Blostein; multidimensional AM-FM models with image processing applications, M. Pattichis et al; image transmissions over noisy channels - TCQ-based fixed length coding scheme, C. Chen.

Product Details

  • ISBN13: 9789812380913
  • Format: Hardback
  • Number Of Pages: 396
  • ID: 9789812380913
  • ISBN10: 9812380914

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