Feature coding for image representation and recognition [electronic resource] / Yongzhen Huang, Tieniu Tan.
Huang, Yongzhen, author.; Tan, Tieniu, author.
2014
QA268
Available Online

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Title Feature coding for image representation and recognition [electronic resource] / Yongzhen Huang, Tieniu Tan.
Author Huang, Yongzhen, author.
ISBN 9783662450000 electronic book
3662450003 electronic book
9783662449998
DOI https://doi.org/10.1007/978-3-662-45000-0
Published Heidelberg : Springer, 2014.
Language English
Description 1 online resource (xiii, 74 pages) : illustrations (some color).
1 online resource.
Other Standard Identifiers 10.1007/978-3-662-45000-0 doi
Call Number QA268
Dewey Decimal Classification 003/.54
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 27, 2015).
Added Author Tan, Tieniu, author.
Series SpringerBriefs in computer science.
Available in Other Form Print version: 9783662449998
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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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