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Feature Coding for Image Representation and Recognition

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...

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Main Authors: Huang, Yongzhen. (Author, http://id.loc.gov/vocabulary/relators/aut), Tan, Tieniu. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:SpringerBriefs in Computer Science,
Subjects:
Pattern recognition.
Optical data processing.
Artificial intelligence.
Algorithms.
Pattern Recognition.
Image Processing and Computer Vision.
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Online Access:https://doi.org/10.1007/978-3-662-45000-0
Table of Contents:
  • 1. Introduction
  • 2. Taxonomy
  • 3. Representative Feature Coding Algorithms
  • 4. Evolution of Feature Coding
  • 5. Experimental Study of Feature Coding
  • 6. Enhancement via Integrating Spatial Information
  • 7. Enhancement via Integrating High Order Coding Information
  • 8. Conclusion.

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