Fusion in Computer Vision

Understanding Complex Visual Content

ISBN: 978-3-319-05695-1 (Print) 978-3-319-05696-8 (Online)

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiv

  2. No Access

    Chapter

    Pages 1-28

    A Selective Weighted Late Fusion for Visual Concept Recognition

  3. No Access

    Chapter

    Pages 29-52

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

  4. No Access

    Chapter

    Pages 53-77

    Hierarchical Late Fusion for Concept Detection in Videos

  5. No Access

    Chapter

    Pages 79-107

    Fusion of Multiple Visual Cues for Object Recognition in Videos

  6. No Access

    Chapter

    Pages 109-133

    Evaluating Multimedia Features and Fusion for Example-Based Event Detection

  7. No Access

    Chapter

    Pages 135-160

    Rotation-Based Ensemble Classifiers for High-Dimensional Data

  8. No Access

    Chapter

    Pages 161-184

    Multimodal Fusion in Surveillance Applications

  9. No Access

    Chapter

    Pages 185-208

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

  10. No Access

    Chapter

    Pages 209-228

    Fusion Techniques in Biomedical Information Retrieval

  11. No Access

    Chapter

    Pages 229-269

    Using Crowdsourcing to Capture Complexity in Human Interpretations of Multimedia Content

  12. Back Matter

    Pages 271-272