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An Effective Similarity Measure for Content-Based Image Retrieval using MPEG-7 Dominant Color Descriptor  

Lee, Jong-Won (청강문화산업대학 e스포츠게임과)
Nang, Jong-Ho (서강대학교 컴퓨터공학과)
Abstract
This paper proposes an effective similarity measure for content-based image retrieval using MPEG-7 DCD. The proposed method can measure the similarity of images with the percentage of dominant colors extracted from images. As the result of experiments, we achieved a significant improvement of 18.92% with global DCD and 47.22% with local DCD in ANMRR than the result by QHDM. This result shows that the proposed method is an effective similarity measure for content-based image retrieval. Especially, our method is useful for region-based image retrieval.
Keywords
Content-based Image Retrieval; MPEG-7; Dominant Color Descriptor; Similarity Measure; Region-based Retrieval;
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