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Fusion in Computer Vision

Understanding Complex Visual Content

  • Book
  • © 2014

Overview

Editors:
  1. Bogdan Ionescu

    1. University Politehnica of Bucharest, Romania

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  2. Jenny Benois-Pineau

    1. University of Bordeaux, Talence, France

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  3. Tomas Piatrik

    1. Queen Mary University of London, London, United Kingdom

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  4. Georges Quénot

    1. Lab. of Informatics of Grenoble, France

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  • Examines information fusion in the context of multimodal and multidimensional data representation, i.e., video, image and text
  • Presents a focus on information fusion for tackling higher-level description of multimedia information
  • Discusses the latest research on a broad range of multimedia information fusion techniques
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiv
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  2. A Selective Weighted Late Fusion for Visual Concept Recognition

    • Ningning Liu, Emmanuel Dellandréa, Bruno Tellez, Liming Chen
    Pages 1-28

  3. Bag-of-Words Image Representation: Key Ideas and Further Insight

    • Marc T. Law, Nicolas Thome, Matthieu Cord
    Pages 29-52

  4. Hierarchical Late Fusion for Concept Detection in Videos

    • Sabin Tiberius Strat, Alexandre Benoit, Patrick Lambert, Hervé Bredin, Georges Quénot
    Pages 53-77

  5. Fusion of Multiple Visual Cues for Object Recognition in Videos

    • Iván González-Díaz, Jenny Benois-Pineau, Vincent Buso, Hugo Boujut
    Pages 79-107

  6. Evaluating Multimedia Features and Fusion for Example-Based Event Detection

    • Gregory K. Myers, Cees G. M. Snoek, Ramakant Nevatia, Ramesh Nallapati, Julien van Hout, Stephanie Pancoast et al.
    Pages 109-133

  7. Rotation-Based Ensemble Classifiers for High-Dimensional Data

    • Junshi Xia, Jocelyn Chanussot, Peijun Du, Xiyan He
    Pages 135-160

  8. Multimodal Fusion in Surveillance Applications

    • Virginia Fernandez Arguedas, Qianni Zhang, Ebroul Izquierdo
    Pages 161-184

  9. Multimodal Violence Detection in Hollywood Movies: State-of-the-Art and Benchmarking

    • Claire-Hélène Demarty, Cédric Penet, Bogdan Ionescu, Guillaume Gravier, Mohammad Soleymani
    Pages 185-208

  10. Fusion Techniques in Biomedical Information Retrieval

    • Alba García Seco de Herrera, Henning Müller
    Pages 209-228

  11. Using Crowdsourcing to Capture Complexity in Human Interpretations of Multimedia Content

    • Martha Larson, Mark Melenhorst, María Menéndez, Peng Xu
    Pages 229-269

  12. Back Matter

    Pages 271-272
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Keywords

About this book

This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content.

Editors and Affiliations

  • University Politehnica of Bucharest, Romania

    Bogdan Ionescu

  • University of Bordeaux, Talence, France

    Jenny Benois-Pineau

  • Queen Mary University of London, London, United Kingdom

    Tomas Piatrik

  • Lab. of Informatics of Grenoble, France

    Georges Quénot

About the editors

Dr. Bogdan Ionescu is a lecturer and Coordinator of the Video Processing Group at the Image Processing and Analysis Laboratory, University Politehnica of Bucharest, Romania. Dr. Jenny Benois-Pineau is a full professor and Chair of the Video Analysis and Indexing research group at the University of Bordeaux, France. Dr. Tomas Piatrik is a senior researcher in the Multimedia and Vision Research Group at Queen Mary University of London, UK. Dr. Georges Quénot is a senior researcher at CNRS and leader of the Multimedia Information Modeling and Retrieval group at the Grenoble Informatics Laboratory, France.

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