Feature Coding for Image Representation and Recognition

• Main Authors: Huang, Yongzhen (Author), Tan, Tieniu (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Algorithms.; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; Pattern Recognition.; Image Processing and Computer Vision.; Artificial Intelligence (incl. Robotics).; Algorithm Analysis and Problem Complexity.

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...

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.