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Computer Vision -- ACCV 2012

11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I

  • Conference proceedings
  • © 2013
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Overview

Editors:
  1. Kyoung Mu Lee

    1. Department of Electrical and Computer Engineering, Seoul National University, Gwanak-gu, Korea

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  2. Yasuyuki Matsushita

    1. Microsoft Research Asia, Beijing, P.R. China

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  3. James M. Rehg

    1. School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA

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  4. Zhanyi Hu

    1. Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, P.R. China

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  • Up-to-date results in computer vision
  • Fast-track conference proceedings
  • State-of-the-art research

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7724)

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

Included in the following conference series:

Conference proceedings info: ACCV 2012.

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Table of contents (60 papers)

  1. Front Matter

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  2. Oral Session 1: Object Detection and Learning

    1. Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer

      • Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert
      Pages 1-15
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    2. Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes

      • Feng-Ju Chang, Yen-Yu Lin, Ming-Fang Weng
      Pages 16-30
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    3. Human Reidentification with Transferred Metric Learning

      • Wei Li, Rui Zhao, Xiaogang Wang
      Pages 31-44
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  3. Poster Session 1: Object Detection, Learning and Matching

    1. Tell Me What You Like and I’ll Tell You What You Are: Discriminating Visual Preferences on Flickr Data

      • Pietro Lovato, Alessandro Perina, Nicu Sebe, Omar Zandonà, Alessio Montagnini, Manuele Bicego et al.
      Pages 45-56
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    2. Local Context Priors for Object Proposal Generation

      • Marko Ristin, Juergen Gall, Luc Van Gool
      Pages 57-70
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    3. Arbitrary-Shape Object Localization Using Adaptive Image Grids

      • Chunluan Zhou, Junsong Yuan
      Pages 71-84
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    4. Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences

      • Yuko Ozasa, Yasuo Ariki, Mikio Nakano, Naoto Iwahashi
      Pages 85-96
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    5. Class-Specific Weighted Dominant Orientation Templates for Object Detection

      • Hui-Jin Lee, Ki-Sang Hong
      Pages 97-110
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    6. Salient Object Detection via Color Contrast and Color Distribution

      • Keren Fu, Chen Gong, Jie Yang, Yue Zhou
      Pages 111-122
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    7. Data Decomposition and Spatial Mixture Modeling for Part Based Model

      • Junge Zhang, Yongzhen Huang, Kaiqi Huang, Zifeng Wu, Tieniu Tan
      Pages 123-137
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    8. Appearance Sharing for Collective Human Pose Estimation

      • Marcin Eichner, Vittorio Ferrari
      Pages 138-151
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    9. Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching

      • Angela Eigenstetter, Pradeep Krishna Yarlagadda, Björn Ommer
      Pages 152-163
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    10. Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection

      • Bo Li, Tianfu Wu, Wenze Hu, Mingtao Pei
      Pages 164-175
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    11. The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image

      • Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars
      Pages 176-189
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    12. Local Hypersphere Coding Based on Edges between Visual Words

      • Weiqiang Ren, Yongzhen Huang, Xin Zhao, Kaiqi Huang, Tieniu Tan
      Pages 190-203
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    13. Spatially Local Coding for Object Recognition

      • Sancho McCann, David G. Lowe
      Pages 204-217
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    14. Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach

      • Björn Fröhlich, Erik Rodner, Joachim Denzler
      Pages 218-231
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    15. Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets

      • Sandra Ebert, Mario Fritz, Bernt Schiele
      Pages 232-245
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    16. One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery

      • Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu
      Pages 246-258
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Other volumes

  1. Computer Vision – ACCV 2012

  2. Computer Vision – ACCV 2012

  3. Computer Vision – ACCV 2012

  4. Computer Vision – ACCV 2012

  5. Computer Vision - ACCV 2012 Workshops

  6. Computer Vision - ACCV 2012 Workshops

Keywords

About this book

The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, Seoul National University, Gwanak-gu, Korea

    Kyoung Mu Lee

  • Microsoft Research Asia, Beijing, P.R. China

    Yasuyuki Matsushita

  • School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA

    James M. Rehg

  • Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, P.R. China

    Zhanyi Hu

Bibliographic Information

  • Book Title: Computer Vision -- ACCV 2012

  • Book Subtitle: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I

  • Editors: Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-37331-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-37330-5Published: 04 April 2013

  • eBook ISBN: 978-3-642-37331-2Published: 27 March 2013

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XLII, 821

  • Number of Illustrations: 349 b/w illustrations

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Health Informatics

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