Pixelization Paradigm First Visual Information Expert Workshop, VIEW
The pixelization paradigm states as a postulate that pixelization methods are rich and are worth exploring as far as possible. In fact, we think that the strength of these methods lies in their simplicity, in their high-density way of information represen
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Pierre P Lévy Bénédicte Le Grand François Poulet Michel Soto Laszlo Darago Laurent Toubiana Jean-François Vibert (Eds.)
Pixelization Paradigm First Visual Information Expert Workshop, VIEW 2006 Paris, France, April 24-25, 2006 Revised Selected Papers
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Volume Editors Pierre P Lévy AP-HP, Hôpital Tenon, INSERM UMR-S 707, 75970 Paris Cedex 20, France E-mail: [email protected] Bénédicte Le Grand Michel Soto Université Pierre et Marie Curie, LIP6-CNRS, 75005 Paris, France E-mail: {benedicte.le-grand,michel.soto}@lip6.fr François Poulet ESIEA-Ouest, 53000 Laval, France E-mail: [email protected] Laszlo Darago Semmelweis University, 1082 Budapest, Hungary E-mail: [email protected] Laurent Toubiana Université Paris 5, UPRES EA 222, 75743 Paris Cedex 15, France E-mail: [email protected] Jean-François Vibert AP-HP, Hôpital St Antoine, INSERM UMR-S 707, 75571 Paris Cedex 12, France E-mail: [email protected] Library of Congress Control Number: 2007920819 CR Subject Classification (1998): I.4, I.5, I.2.10, I.3, I.2.6, F.2.2, J.3 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics ISSN ISBN-10 ISBN-13
0302-9743 3-540-71026-4 Springer Berlin Heidelberg New York 978-3-540-71026-4 Springer Berlin Heidelberg New York
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Preface
The pixelization paradigm states as a postulat
