Attention and Performance in Computational Vision

Second International Workshop, WAPCV 2004, Prague, Czech Republic, May 15, 2004, Revised Selected Papers

  • Lucas Paletta
  • John K. Tsotsos
  • Erich Rome
  • Glyn Humphreys
Conference proceedings WAPCV 2004

DOI: 10.1007/b105311

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3368)

Table of contents

  1. Front Matter
  2. Attention in Object and Scene Recognition

    1. Ola Ramström, Henrik I Christensen
      Pages 1-15
    2. Gerald Fritz, Christin Seifert, Lucas Paletta, Horst Bischof
      Pages 29-41
  3. Architectures for Sequential Attention

    1. Claudio M. Privitera, Orazio Gallo, Giorgio Grimoldi, Toyomi Fujita, Lawrence W. Stark
      Pages 71-82
    2. Daniel A. Gajewski, Aaron M. Pearson, Michael L. Mack, Francis N. Bartlett III, John M. Henderson
      Pages 83-99
  4. Biologically Plausible Models for Attention

  5. Applications of Attentive Vision

    1. Simone Frintrop, Andreas Nüchter, Hartmut Surmann
      Pages 168-182
    2. Nabil Ouerhani, Heinz Hügli, Gabriel Gruener, Alain Codourey
      Pages 183-195
    3. Antonio Fernández-Caballero, María T. López, Miguel A. Fernández, José Mira, Ana E. Delgado, José M. López-Valles
      Pages 206-215
    4. Nan Hu, Weimin Huang, Surendra Ranganath
      Pages 216-230
  6. Back Matter

About these proceedings

Introduction

Inrecentresearchoncomputervisionsystems,attentionhasbeenplayingacrucialrolein mediatingbottom-upandtop-downpathsofinformationprocessing. Inappliedresearch, the development of enabling technologies such as miniaturized mobile sensors, video surveillance systems, and ambient intelligence systems involves the real-time analysis of enormous quantities of data. Knowledge has to be applied about what needs to be attendedto,andwhen,andwhattodoinameaningfulsequence,incorrespondencewith visual feedback. Methods on attention and control are mandatory to render computer vision systems more robust. The 2nd International Workshop on Attention and Performance in Computational Vision (WAPCV 2004) was held in the Czech Technical University of Prague, Czech Republic, as an associated workshop of the 8th European Conference on Computer - sion (ECCV 2004). The goal of this workshop was to provide an interdisciplinary forum tocommunicatecomputationalmodelsofvisualattentionfromvariousviewpoints,such as from computer vision, psychology, robotics and neuroscience. The motivation for - terdisciplinarity was communication and inspiration beyond the individual community, to focus discussion on computational modelling, to outline relevant objectives for p- formance comparison, to explore promising application domains, and to discuss these with reference to all related aspects of cognitive vision. The workshop was held as a single-day, single-track event, consisting of high-quality podium and poster presen- tions. Invited talks were given by John K. Tsotsos about attention and feature binding in biologically motivated computer vision and by Gustavo Deco about the context of attention, memory and reward from the perspective of computational neuroscience. The interdisciplinary program committee was composed of 21 internationally r- ognized researchers.

Keywords

3D Computational vision Computer Vision Performance ambient intelligence biologically motivated vision cognition cognitive science computer vision systems performance learning neuroscience object recognition video surveillance visual attention visual perception

Editors and affiliations

  • Lucas Paletta
    • 1
  • John K. Tsotsos
    • 2
  • Erich Rome
    • 3
  • Glyn Humphreys
    • 4
  1. 1.Joanneum ResearchGrazAustria
  2. 2.Center for Vision Research (CVR) and, Department of Computer Science and EngineeringYork UniversityTorontoCanada
  3. 3.Fraunhofer IAISSankt AugustinGermany
  4. 4.Behavioural Brain Sciences Centre, School of PsychologyUniversity of BirminghamEdgbastonUK

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-24421-9
  • Online ISBN 978-3-540-30572-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349