ECCV: Workshop at the European Conference on Computer Vision

Computer Vision - ECCV 2014 Workshops

Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I

  • Lourdes Agapito
  • Michael M. Bronstein
  • Carsten Rother

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8925)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8925)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. W01 - Where Computer Vision Meets Art (VISART)

    1. Front Matter
      Pages 1-1
    2. Seyed Ali Amirshahi, Gregor Uwe Hayn-Leichsenring, Joachim Denzler, Christoph Redies
      Pages 3-19
    3. Elliot J. Crowley, Andrew Zisserman
      Pages 54-70
    4. Joon Son Chung, Relja Arandjelović, Giles Bergel, Alexandra Franklin, Andrew Zisserman
      Pages 85-100
    5. Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik
      Pages 101-116
    6. Qian Chen, Gustavo Carneiro
      Pages 117-132
    7. Markus Seidl, Ewald Wieser, Matthias Zeppelzauer, Axel Pinz, Christian Breiteneder
      Pages 133-148
  3. W02 - Computer Vision in Vehicle Technology

    1. Front Matter
      Pages 165-165
    2. David Wong, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase
      Pages 167-179
    3. Jonathan Ventura, Clemens Arth, Vincent Lepetit
      Pages 180-193
    4. Lijun Wei, Bahman Soheilian, Valérie Gouet-Brunet
      Pages 194-208
    5. Sergiu Dotenco, Florian Gallwitz, Elli Angelopoulou
      Pages 209-222
    6. Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol et al.
      Pages 223-237
    7. Hyon Lim, Jongwoo Lim, H. Jin Kim
      Pages 238-254
    8. Jan C. van Gemert, Camiel R. Verschoor, Pascal Mettes, Kitso Epema, Lian Pin Koh, Serge Wich
      Pages 255-270

About these proceedings


The four-volume set LNCS 8925, 8926, 8927, and 8928 comprises the refereed post-proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They were presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included. .


3D modeling 3D simulation Aesthetic judgment Assisted living systems Body scanning Elderly care Face recognition Gait recognition Graph matching Human-machine interaction Mapreduce Modeling Multi-camera system Multiple object tracking Random decision forest Spatio-temporal features Unsupervised learning User interfaces Visual surveillance Wearable cameras

Editors and affiliations

  • Lourdes Agapito
    • 1
  • Michael M. Bronstein
    • 2
  • Carsten Rother
    • 3
  1. 1.University College LondonLondonUnited Kingdom
  2. 2.University of LuganoLuganoSwitzerland
  3. 3.Technische Universität DresdenDresdenGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-16177-8
  • Online ISBN 978-3-319-16178-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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