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Visual Pattern Discovery and Recognition

  • Hongxing Wang
  • Chaoqun Weng
  • Junsong Yuan

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-x
  2. Hongxing Wang, Chaoqun Weng, Junsong Yuan
    Pages 1-13
  3. Hongxing Wang, Chaoqun Weng, Junsong Yuan
    Pages 15-28
  4. Hongxing Wang, Chaoqun Weng, Junsong Yuan
    Pages 29-44
  5. Hongxing Wang, Chaoqun Weng, Junsong Yuan
    Pages 45-65
  6. Hongxing Wang, Chaoqun Weng, Junsong Yuan
    Pages 67-83
  7. Hongxing Wang, Chaoqun Weng, Junsong Yuan
    Pages 85-87

About this book

Introduction

This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition.

It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.

Keywords

Visual Pattern Discovery Multi-feature Fusion Context-Aware Discovery Co-occurrence Pattern Hierarchical Sparse Coding Visual Labeling Visual Clustering Multi-feature Spectral Learning

Authors and affiliations

  • Hongxing Wang
    • 1
  • Chaoqun Weng
    • 2
  • Junsong Yuan
    • 3
  1. 1.Chongqing UniversityChongqingChina
  2. 2.Nanyang Technological UniversitySingaporeSingapore
  3. 3.Nanyang Technological UniversitySingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-4840-1
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-4839-5
  • Online ISBN 978-981-10-4840-1
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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