Feature Coding for Image Representation and Recognition

  • Yongzhen Huang
  • Tieniu Tan
Book

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Yongzhen Huang, Tieniu Tan
    Pages 1-7
  3. Yongzhen Huang, Tieniu Tan
    Pages 9-13
  4. Yongzhen Huang, Tieniu Tan
    Pages 15-25
  5. Yongzhen Huang, Tieniu Tan
    Pages 27-35
  6. Yongzhen Huang, Tieniu Tan
    Pages 37-45
  7. Yongzhen Huang, Tieniu Tan
    Pages 47-58
  8. Yongzhen Huang, Tieniu Tan
    Pages 59-70
  9. Yongzhen Huang, Tieniu Tan
    Pages 71-74

About this book

Introduction

This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline. The text offers a rich blend of theory and practice while reflects the recent developments on feature coding, covering the following five aspects: (1) Review the state-of-the-art, analyzing the motivations and mathematical representations of various feature coding methods; (2) Explore how various feature coding algorithms evolve along years; (3) Summarize the main characteristics of typical feature coding algorithms and categorize them accordingly; (4) Discuss the applications of feature coding in different visual tasks, analyze the influence of some key factors in feature coding with intensive experimental studies; (5) Provide the suggestions of how to apply different feature coding methods and forecast the potential directions for future work on the topic. It is suitable for students, researchers, practitioners interested in object recognition.

Keywords

Feature coding bag-of-features bag-of-words image categorization image classification image recognition image retrieval

Authors and affiliations

  • Yongzhen Huang
    • 1
  • Tieniu Tan
    • 2
  1. 1.Institute of Automation Chinese Academy of SciencesBeijingChina
  2. 2.Institute of Automation Chinese Academy of SciencesBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-45000-0
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-44999-8
  • Online ISBN 978-3-662-45000-0
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book