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Advances in Visual Computing

9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II

  • Conference proceedings
  • © 2013

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Editors:
  1. George Bebis

    1. University of Nevada, Reno, USA

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  2. Richard Boyle

    1. NASA Ames Research Center, Moffett Field, USA

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  3. Bahram Parvin

    1. Lawrence Berkeley National Laboratory, Berkeley, USA

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  4. Darko Koracin

    1. Desert Research Institute, Reno, USA

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  5. Baoxin Li

    1. Arizona State University, Tempe, USA

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  6. Fatih Porikli

    1. Mitsubishi Electric Research Laboratories, Cambridge, USA

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  7. Victor Zordan

    1. University of California, Riverside, USA

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  8. James Klosowski

    1. AT&T Research Labs, Florham Park, USA

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  9. Sabine Coquillart

    1. ZIRST, Saint-Ismier Cedex, France

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  10. Xun Luo

    1. Qualcomm Research, San Diego, USA

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  11. Min Chen

    1. Oxford e-Research Centre, University of Oxford,, Oxford, UK

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  12. David Gotz

    1. IBM, Hawthorne, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8034)

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

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Conference proceedings info: ISVC 2013.

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About this book

The two volume sets LNCS 8033 and 8034 constitutes the refereed proceedings of the 9th International Symposium on Visual Computing, ISVC 2013, held in Rethymnon, Crete, Greece, in July 2013. The 63 revised full papers and 35 poster papers presented together with 32 special track papers were carefully reviewed and selected from more than 220 submissions. The papers are organized in topical sections: Part I (LNCS 8033) comprises computational bioimaging; computer graphics; motion, tracking and recognition; segmentation; visualization; 3D mapping, modeling and surface reconstruction; feature extraction, matching and recognition; sparse methods for computer vision, graphics and medical imaging; face processing and recognition. Part II (LNCS 8034) comprises topics such as visualization; visual computing with multimodal data streams; visual computing in digital cultural heritage; intelligent environments: algorithms and applications; applications; virtual reality.

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Keywords

Table of contents (73 papers)

  1. Front Matter

    Download chapter PDF

  2. Visualization II

    1. The Reflection Layer Extension to the Stereoscopic Highlight Technique for Node-Link Diagrams: An Empirical Study

      • Ragaad AlTarawneh, Jens Bauer, Shah Rukh Humayoun, Patric Keller, Achim Ebert
      Pages 1-12

    2. Adaptive Semantic Visualization for Bibliographic Entries

      • Kawa Nazemi, Reimond Retz, Jürgen Bernard, Jörn Kohlhammer, Dieter Fellner
      Pages 13-24

    3. A Methodology for Interactive Spatial Visualization of Automotive Function Architectures for Development and Maintenance

      • Moritz Cohrs, Stefan Klimke, Gabriel Zachmann
      Pages 25-35

    4. Navigation Recommendations for Exploring Hierarchical Graphs

      • Stefan Gladisch, Heidrun Schumann, Christian Tominski
      Pages 36-47

    5. A Tool for Visualizing Large-Scale Interactions between Turbulence and Particles in 3D Space through 2D Trajectory Visualization

      • Guoyu Lu, Vincent Ly, Xiaolong Wang, Rohith M.V., Orlando Ayala, Lian-Ping Wang et al.
      Pages 48-57

  3. ST: Visual Computing with Multimodal Data Streams

    1. Visual Query Specification and Interaction with Industrial Engineering Data

      • Alberto Malagoli, Mariano Leva, Stephen Kimani, Alessandro Russo, Massimo Mecella, Sonia Bergamaschi et al.
      Pages 58-67

    2. Performance Anchored Score Normalization for Multi-biometric Fusion

      • Naser Damer, Alexander Opel, Alexander Nouak
      Pages 68-75

    3. Towards a Contextualized Visual Analysis of Heterogeneous Manufacturing Data

      • Mario Aehnelt, Hans-Jörg Schulz, Bodo Urban
      Pages 76-85

    4. Visual Statistics Cockpits for Information Gathering in the Policy-Making Process

      • Dirk Burkhardt, Kawa Nazemi, Christian Stab, Martin Steiger, Arjan Kuijper, Jörn Kohlhammer
      Pages 86-97

  4. ST: Visual Computing in Digital Cultural Heritage

    1. Feature Weight Optimization and Pruning in Historical Text Recognition

      • Fredrik Wahlberg, Anders Brun
      Pages 98-107

    2. A Constraint Inductive Learning-Spectral Clustering Methodology for Personalized 3D Navigation

      • Nikolaos Doulamis, Christos Yiakoumettis, George Miaoulis, Eftychios Protopapadakis
      Pages 108-117

    3. Beat Synchronous Dance Animation Based on Visual Analysis of Human Motion and Audio Analysis of Music Tempo

      • Costas Panagiotakis, Andre Holzapfel, Damien Michel, Antonis A. Argyros
      Pages 118-127

    4. Combining Unsupervised Clustering with a Non-linear Deformation Model for Efficient Petroglyph Recognition

      • Vincenzo Deufemia, Luca Paolino
      Pages 128-137

    5. Analysing User Needs for a Unified 3D Metadata Recording and Exploitation of Cultural Heritage Monuments System

      • E. Maravelakis, A. Konstantaras, A. Kritsotaki, D. Angelakis, M. Xinogalos
      Pages 138-147

    6. Precise 3D Reconstruction of Cultural Objects Using Combined Multi-component Image Matching and Active Contours Segmentation

      • Christos Stentoumis, Georgios Livanos, Anastasios Doulamis, Eftychios Protopapadakis, Lazaros Grammatikopoulos, Michael Zervakis
      Pages 148-157

  5. ST: Intelligent Environments: Algorithms and Applications

    1. People Tracking Based on Predictions and Graph-Cuts Segmentation

      • Amira Soudani, Ezzeddine Zagrouba
      Pages 158-167

    2. A Framework for Quick and Accurate Access of Interesting Visual Events in Surveillance Videos

      • Fei Yuan, Chu Tang, Shu Tian, Hongwei Hao
      Pages 168-177

    3. Detecting and Tracking Unknown Number of Objects with Dirichlet Process Mixture Models and Markov Random Fields

      • Ibrahim Saygin Topkaya, Hakan Erdogan, Fatih Porikli
      Pages 178-188

    4. Grassmannian Spectral Regression for Action Recognition

      • Sherif Azary, Andreas Savakis
      Pages 189-198
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Other volumes

  1. Advances in Visual Computing

  2. Advances in Visual Computing

Editors and Affiliations

  • University of Nevada, Reno, USA

    George Bebis

  • NASA Ames Research Center, Moffett Field, USA

    Richard Boyle

  • Lawrence Berkeley National Laboratory, Berkeley, USA

    Bahram Parvin

  • Desert Research Institute, Reno, USA

    Darko Koracin

  • Arizona State University, Tempe, USA

    Baoxin Li

  • Mitsubishi Electric Research Laboratories, Cambridge, USA

    Fatih Porikli

  • University of California, Riverside, USA

    Victor Zordan

  • AT&T Research Labs, Florham Park, USA

    James Klosowski

  • ZIRST, Saint-Ismier Cedex, France

    Sabine Coquillart

  • Qualcomm Research, San Diego, USA

    Xun Luo

  • Oxford e-Research Centre, University of Oxford,, Oxford, UK

    Min Chen

  • IBM, Hawthorne, USA

    David Gotz

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