A Novel Retrieval Refinement and Interaction Pattern by Exploring Result Correlations for Image Retrieval
Efficient retrieval of image database that contains multiple predefined categories (e.g. medical imaging databases, museum painting collections) poses significant challenges and commercial prospects. By exploring category correlations of retrieval results
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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 Alfred Kobsa University of California, Irvine, CA, 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 Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Nozha Boujemaa Marcin Detyniecki Andreas Nürnberger (Eds.)
Adaptive Multimedia Retrieval: Retrieval, User, and Semantics 5th International Workshop, AMR 2007 Paris, France, July 5-6, 2007 Revised Selected Papers
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Volume Editors Nozha Boujemaa INRIA Rocquencourt, 78153 Le Chesnay, France E-mail: [email protected] Marcin Detyniecki University Pierrre and Marie Curie CNRS - LIP6 75016 Paris, France E-mail: [email protected] Andreas Nürnberger Otto-von-Guericke-University Magdeburg Faculty of Computer Science 39106 Magdeburg, Germany E-mail: [email protected]
Library of Congress Control Number: 2008930128 CR Subject Classification (1998): H.3, H.5.1, H.5.5, I.4, I.2 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
0302-9743 3-540-79859-5 Springer Berlin Heidelberg New York 978-3-540-79859-0 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2008 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12267644 06/3180 543210
Preface
This book is a selection of the revised contributions that were initially submitted to the International Workshop on Adaptive Multimedia Retrieval (AMR 2007). The workshop was organized at the University Pierre and Marie Curie in Paris, France, during July 5–6, 2007. The goal of the AMR workshops is to intensify the exchange of ideas between different research communities, to provide an overview of current act
