A weighted dominant color descriptor for content-based image retrieval

被引：62
作者：
Talib, Ahmed [1 ,2 ]
Mahmuddin, Massudi [1 ]
Husni, Husniza [1 ]
George, Loay E. [3 ]
机构：
[1] Univ Utara Malaysia, Sch Comp, Dept Comp Sci, Sintok 06010, Kedah, Malaysia
[2] Fdn Tech Educ, IT Dept, Tech Coll Management, Baghdad 10047, Iraq
[3] Univ Baghdad, Dept Comp Sci, Coll Sci, Baghdad 10071, Iraq
来源：
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 2013年 / 24卷 / 03期
关键词：
Dominant color descriptor; MPEG-7; Object- and content-based image retrieval; Semantic feature; Similarity measures; Salient object detection; Background dominance problem; Linear Block Algorithm; SIMILARITY MEASURE; EXTRACTION;
D O I：
10.1016/j.jvcir.2013.01.007
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. Crown Copyright (c) 2013 Published by Elsevier Inc. All rights reserved.
引用
收藏
页码：345 / 360
页数：16
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