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A weighted dominant color descriptor for content-based image retrieval

Talib, Ahmed and Mahmuddin, Massudi and Husni, Husniza and George, Loay E. (2013) A weighted dominant color descriptor for content-based image retrieval. Journal of Visual Communication and Image Representation, 24 (3). pp. 345-360. ISSN 1047-3203

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Color has been extensively used in the process of image retrieval. The dominant color descriptor (DCD) that was proposed by MPEG-7 is a famous case in point. It is based on compactly describing the prominent colors of an image or a region. However, this technique suffers from some shortcomings; especially with respect to object-based image retrieval. In this paper, a new semantic feature extracted from dominant colors (weight for each DC) is proposed. The newly proposed technique helps reduce the effect of image background on image matching decision where an object’s colors receive much more focus. In addition, a modification to DC-based similarity measure is also proposed. Experimental results demonstrate that the proposed descriptor with the similarity measure modification performs better than the existing descriptor in content-based image retrieval application. The proposed descriptor considers as step forward to the object-based image retrieval.

Item Type: Article
Uncontrolled Keywords: Dominant color descriptor; MPEG-7; Object- and content-based image retrieval; Semantic feature; Similarity measures; Salient object detection; Background dominance problem; Linear Block Algorithm
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Massudi Mahmuddin
Date Deposited: 26 Oct 2014 07:25
Last Modified: 26 Oct 2014 07:25
URI: http://repo.uum.edu.my/id/eprint/12507

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