Computer Vision - ECCV 2014 Workshops

1. Front Matter

   Pages I-XXI

   PDF

2. W01 - Where Computer Vision Meets Art (VISART)

   1. Front Matter

      Pages 1-1

      PDF

   2. JenAesthetics Subjective Dataset: Analyzing Paintings by Subjective Scores

      • Seyed Ali Amirshahi, Gregor Uwe Hayn-Leichsenring, Joachim Denzler, Christoph Redies

      Pages 3-19

   3. Relationship Between Visual Complexity and Aesthetics: Application to Beauty Prediction of Photos

      • Litian Sun, Toshihiko Yamasaki, Kiyoharu Aizawa

      Pages 20-34

   4. Computational Beauty: Aesthetic Judgment at the Intersection of Art and Science

      • Emily L. Spratt, Ahmed Elgammal

      Pages 35-53

   5. In Search of Art

      • Elliot J. Crowley, Andrew Zisserman

      Pages 54-70

   6. Classification of Artistic Styles Using Binarized Features Derived from a Deep Neural Network

      • Yaniv Bar, Noga Levy, Lior Wolf

      Pages 71-84

   7. Re-presentations of Art Collections

      • Joon Son Chung, Relja Arandjelović, Giles Bergel, Alexandra Franklin, Andrew Zisserman

      Pages 85-100

   8. Detecting People in Cubist Art

      • Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik

      Pages 101-116

   9. Artistic Image Analysis Using the Composition of Human Figures

      • Qian Chen, Gustavo Carneiro

      Pages 117-132

   10. Graph-Based Shape Similarity of Petroglyphs

       • Markus Seidl, Ewald Wieser, Matthias Zeppelzauer, Axel Pinz, Christian Breiteneder

       Pages 133-148

   11. Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding

       • Jongpil Kim, Vladimir Pavlovic

       Pages 149-164

3. W02 - Computer Vision in Vehicle Technology

   1. Front Matter

      Pages 165-165

      PDF

   2. Vision-Based Vehicle Localization Using a Visual Street Map with Embedded SURF Scale

      • David Wong, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

      Pages 167-179

   3. Approximated Relative Pose Solvers for Efficient Camera Motion Estimation

      • Jonathan Ventura, Clemens Arth, Vincent Lepetit

      Pages 180-193

   4. Augmenting Vehicle Localization Accuracy with Cameras and 3D Road Infrastructure Database

      • Lijun Wei, Bahman Soheilian, Valérie Gouet-Brunet

      Pages 194-208

   5. Autonomous Approach and Landing for a Low-Cost Quadrotor Using Monocular Cameras

      • Sergiu Dotenco, Florian Gallwitz, Elli Angelopoulou

      Pages 209-222

   6. A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems

      • Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol et al.

      Pages 223-237

   7. Online 3D Reconstruction and 6-DoF Pose Estimation for RGB-D Sensors

      • Hyon Lim, Jongwoo Lim, H. Jin Kim

      Pages 238-254

   8. Nature Conservation Drones for Automatic Localization and Counting of Animals

      • Jan C. van Gemert, Camiel R. Verschoor, Pascal Mettes, Kitso Epema, Lian Pin Koh, Serge Wich

      Pages 255-270

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

• University College London, London, United Kingdom

  Lourdes Agapito

• University of Lugano, Lugano, Switzerland

  Michael M. Bronstein

• Technische Universität Dresden, Dresden, Germany

  Carsten Rother

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