A Survey on Feature Based Image Retrieval Techniques

Ling Shao

doi:10.4018/978-1-61350-126-9.ch007

A Survey on Feature Based Image Retrieval Techniques

Ling Shao

Computer and Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, we review classical and state of the art Content-Based Image Retrieval algorithms. Techniques on representing and extracting visual features, such as color, shape, and texture, are first presented. Several well-known image retrieval systems using those features are also summarized. Then, two recent trends on image retrieval, namely semantic based methods and local invariant regions based methods, are discussed. We analyze the drawbacks of current approaches and propose directions for future work.

Original language	English
Title of host publication	Intelligent Multimedia Databases and Information Retrieval
Editors	Li Yan, Zongmin Ma
Place of Publication	Hershey, PA
Publisher	IGI Global
Pages	105-120
Number of pages	334
ISBN (Print)	9781613501269
DOIs	https://doi.org/10.4018/978-1-61350-126-9.ch007
Publication status	Published - Sept 2011

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title = "A Survey on Feature Based Image Retrieval Techniques",

abstract = "In this chapter, we review classical and state of the art Content-Based Image Retrieval algorithms. Techniques on representing and extracting visual features, such as color, shape, and texture, are first presented. Several well-known image retrieval systems using those features are also summarized. Then, two recent trends on image retrieval, namely semantic based methods and local invariant regions based methods, are discussed. We analyze the drawbacks of current approaches and propose directions for future work.",

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AB - In this chapter, we review classical and state of the art Content-Based Image Retrieval algorithms. Techniques on representing and extracting visual features, such as color, shape, and texture, are first presented. Several well-known image retrieval systems using those features are also summarized. Then, two recent trends on image retrieval, namely semantic based methods and local invariant regions based methods, are discussed. We analyze the drawbacks of current approaches and propose directions for future work.

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M3 - Chapter

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BT - Intelligent Multimedia Databases and Information Retrieval

A2 - Yan, Li

A2 - Ma, Zongmin

PB - IGI Global

CY - Hershey, PA

ER -

A Survey on Feature Based Image Retrieval Techniques

Abstract

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