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Computer Vision - ECCV 2014 Workshops

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

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Lourdes Agapito

    1. University College London, London, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  2. Michael M. Bronstein

    1. University of Lugano, Lugano, Switzerland

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    You can also search for this editor in PubMed   Google Scholar

  3. Carsten Rother

    1. Technische Universität Dresden, Dresden, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8927)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ECCV 2014.

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Table of contents (58 papers)

  1. Front Matter

    Pages I-XXI
    Download chapter PDF

  2. W18 - Transferring and Adapting Source Knowledge (TASK) in Computer Vision (CV)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Automatic Expansion of a Food Image Dataset Leveraging Existing Categories with Domain Adaptation

      • Yoshiyuki Kawano, Keiji Yanai
      Pages 3-17

    3. A Testbed for Cross-Dataset Analysis

      • Tatiana Tommasi, Tinne Tuytelaars
      Pages 18-31

    4. Domain Adaptation with a Domain Specific Class Means Classifier

      • Gabriela Csurka, Boris Chidlovskii, Florent Perronnin
      Pages 32-46

    5. Nonlinear Cross-View Sample Enrichment for Action Recognition

      • Ling Wang, Hichem Sahbi
      Pages 47-62

    6. Multi-Modal Distance Metric Learning: ABayesian Non-parametric Approach

      • Behnam Babagholami-Mohamadabadi, Seyed Mahdi Roostaiyan, Ali Zarghami, Mahdieh Soleymani Baghshah
      Pages 63-77

    7. Multi-Task Multi-Sample Learning

      • Yusuf Aytar, Andrew Zisserman
      Pages 78-91

  3. W19 - Surveillance and Re-Identification

    1. Front Matter

      Pages 93-93
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    2. Learning Action Primitives for Multi-level Video Event Understanding

      • Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou, Greg Mori
      Pages 95-110

    3. Learning Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition

      • Yanhu Shan, Zhang Zhang, Kaiqi Huang
      Pages 111-121

    4. A Novel Visual Word Co-occurrence Model for Person Re-identification

      • Ziming Zhang, Yuting Chen, Venkatesh Saligrama
      Pages 122-133

    5. Joint Learning for Attribute-Consistent Person Re-Identification

      • Sameh Khamis, Cheng-Hao Kuo, Vivek K. Singh, Vinay D. Shet, Larry S. Davis
      Pages 134-146

    6. Person Re-identification by Discriminatively Selecting Parts and Features

      • Amran Bhuiyan, Alessandro Perina, Vittorio Murino
      Pages 147-161

    7. Calibration Methodology for Distant Surveillance Cameras

      • Peter Gemeiner, Branislav Micusik, Roman Pflugfelder
      Pages 162-173

    8. Improving Global Multi-target Tracking with Local Updates

      • Anton Milan, Rikke Gade, Anthony Dick, Thomas B. Moeslund, Ian Reid
      Pages 174-190

    9. Saliency Weighted Features for Person Re-identification

      • Niki Martinel, Christian Micheloni, Gian Luca Foresti
      Pages 191-208

    10. Regularized Bayesian Metric Learning for Person Re-identification

      • Venice Erin Liong, Jiwen Lu, Yongxin Ge
      Pages 209-224

    11. Investigating Open-World Person Re-identification Using a Drone

      • Ryan Layne, Timothy M. Hospedales, Shaogang Gong
      Pages 225-240

    12. The HDA+ Data Set for Research on Fully Automated Re-identification Systems

      • Dario Figueira, Matteo Taiana, Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino
      Pages 241-255
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Other volumes

  1. Computer Vision – ECCV 2014

  2. Computer Vision – ECCV 2014

  3. Computer Vision – ECCV 2014

  4. Computer Vision – ECCV 2014

  5. Computer Vision – ECCV 2014

  6. Computer Vision – ECCV 2014

  7. Computer Vision – ECCV 2014

  8. Computer Vision - ECCV 2014 Workshops

  9. Computer Vision - ECCV 2014 Workshops

  10. Computer Vision - ECCV 2014 Workshops

  11. Computer Vision - ECCV 2014 Workshops

Keywords

About this book

The four-volume set LNCS 8925, 8926, 8927 and 8928 comprises the thoroughly refereed post-workshop 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 where 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.      

Editors and Affiliations

  • 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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