Noblesse Workshop on Non-Linear Model Based Image Analysis de Stephen Marshall

Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of NMBIA, 1–3 July 1998, Glasgow

Stephen Marshall

Neal R. Harvey

Druti Shah

This book contains papers presented at the Noblesse Workshop on Non-linear model based image analysis held in Glasgow, 1-3 July 1998. Current models have mainly been developed for image coding purposes. They are rather simple and far away from being optimal and do not contribute to more complex tasks like those needed in image databases. This book meets the challenging tasks in multimedia applications by discussing new sophisticated model-based schemes for a high-level description of images and image sequences. Novel results are covered in the papers presented in this book, opening new potential fields of application like the support for building databases in multimedia applications, image archiving and image sequence coding, including such topics as:- 3D Image Models; Image/Video Restoration; Segmentation and Object Oriented Coding; Colour Image Processing; Database Retrieval; Image Models; Video Pre- and Post processing.

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3D Image Models: Cross individual model-based alignment of volumetric images M. Gabrani, O. J. Tretiak Drexel University, USA.- Model based segmentation and recognition of anatomical brain structures in 3D MR images O. Cuisenaire, M. Ferrant, J. P. Thiran, B. Macq Telecommunication Labs, Belgium.- Precise registration of CT and MR volumes based on a new creaseness measure D. Lloret, A. M. Lopez, J. Serrat Universitat Autonoma de Barcelona, Spain.- Automatic object modelling for 3D virtual environment S. You, U. Neumann University of Southern California, USA.- 3D binary fast morphological shape decomposition Nikopoulos, V. Chatzis, I. Pitas Aristotle Univ. of Thessaloniki, Greece.- Stereoscopic view rendering from multiple cameras J. I. Park, K. Ohkawa, S. Inoue ATR Media Integration & Communications Research Labs, Japan.- Stereo image segmentation using hybrid analysis technique J. Liu, D. Przewozny HHI, Einsteinufer 37, Germany.- A simplified representation of 3D human faces adapted from 2D images G Votsis, N. Tsapatsoulis, K. Karpouzis, S. Kollias National Technical University of Athens, Greece.- Active shape model-assisted least squares stereo matching for recovery of 3-D facial shape X. Ju, A. Naftel Univ. of Central Lancashire, UK.- Parallel implementation of a 3D nonlinear restoration M. Rezaz, R. Lee Univ. of East Anglia, UK.- Keynote paper E. Coyle, Purdue University, USA Perceptual measures of error and image filtering.- Image/Video Restoration: RCRS filters for digital image sequences H. Huttenen, P. Kuosmanen Tampere Univ. of Tech., Finland.- An automatic system for restoring image sequences E, Decenciere CMM, 35, rue Saint Honore, France.- Restoring images taken from scratch 2-inch tape S. Armstrong, A. C. Kokaram, P. J. W. Rayner Cambridge Univ, UK.- TBA N. Harvey, S. Marshall Strathclyde Univ, UK.- Segmentation and Object Oriented Coding: Object recognition from a perimeter high curvature model using rank conditional morphological operators S.J. Rees, I. W. Shewring University of Glamorgan, UK.- Texture map coding for arbitrarily shaped 2-d and 3-d video objects using b-spline wavelets V. Koivunen, M. Sepponen Tempere Univ. of Tech, Finland.- Representing arbitrary surfaces using pairwise geometric histograms A. Ashbrook, R. B. Fisher, C. Robertson, N. Werghi University of Edinburgh, UK.- Object tracking for retrival application and hypermedia links creation in MPSG-2 sequences L. Favalli, A. Mecocci, F. Moschetti Universita'di Pavia, Italy.- Object feature based coding quality prediction for coding scheme selection P. Fleury LTS-DE, Switzerland.- Supervised semantic object segmentation and tracking via EM-based estimation of mixture density parameters N. O'Conner, S. Marlow Dublin City University, Ireland.- Interactive object extraction from video sequences for multimedia applications based on multiple features R. Castagno Swiss Federal Institute of Technology, Switzerland.- Scale-space tree representation of images J. Ruiz-Hidalgo, J. A. Bangham, R. W. Harvey UEA, UK.- Image segmentation and the use of genetic algorithms for optimising parameters and algorithm choice P.G. Ducksbury DERA, UK.- A class of parallel algo. for nonlinear variational image segmentation: A preprocess for robust feature-based image coding J. Heers, C. Schnorr, H. Seigfried Stiehl Univ. of Hamburg, Germany.- Linear and non-linear modelling of scale-orientation signatures R. Zwiggelaar, C. J. Taylor Univ. of Manchester, UK.- Colour Image Processing: The zerotree applied to co-encoded colour planes in the wavelet domain O. Stromme, D. McGregor Univ. of Strathclyde, UK.- Directional unsharp masking-based approach for color image enhancement F. Alaya Cheikh, M. Gabbouj Tampere Univ. of Tech., Finland.- Multidimensional texture characterization using moments B. Cramariuc, M. Quinghong, M. Gabbouj Tampere Univ. of Tech., Finland.- Activity driven non-linear diffusions for colour image segmentation P.