Content-based Image Retrieval Using Data Fusion Strategy

Woojin Paik (백우진); Sun-Eun Jung; Euigun Ahn; Giyoung Kim (김기용); Moon-Sun Shin (신문선)

doi:10.3743/KOSIM.2008.25.2.049

Content-based Image Retrieval Using Data Fusion Strategy

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2008, 25(2), pp.49~68
DOI : 10.3743/KOSIM.2008.25.2.049
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : May 13, 2008
Accepted : June 5, 2008
Published : June 30, 2008

Woojin Paik ¹, Sun-Eun Jung ², Euigun Ahn ³, Giyoung Kim ¹, Moon-Sun Shin ¹

¹건국대학교
²Konkuk U
³Yonsei U

Accredited

ABSTRACT

In many information retrieval experiments, the data fusion techniques have been used to achieve higher effectiveness in comparison to the single evidence-based retrieval. However, there had not been many image retrieval studies using the data fusion techniques especially in combining retrieval results based on multiple retrieval methods. In this paper, we describe how the image retrieval effectiveness can be improved by combining two sets of the retrieval results using the Sobel operator-based edge detection and the Self Organizing Map(SOM) algorithms. We used the clip art images from a commercial collection to develop a test data set. The main advantage of using this type of the data set was the clear cut relevance judgment, which did not require any human interven- tion.

KEYWORDS

content-based image retrieval, data fusion, Sobel edge detection algorithm, Self-Organizing Map(SOM) algorithm, clip art images

Citation status

* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Content-based Image Retrieval Using Data Fusion Strategy

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* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Content-based Image Retrieval Using Data Fusion Strategy

ABSTRACT

KEYWORDS

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