An Efficient and Effective Image Retrieval System on the basis of Feature, Matching Measure and sub-space Selection

被引：2
|
作者：
Mosbah, Mawloud [1 ]
机构：
[1] Univ 20 Aout 1955 Skikda, Fac Sci, Informat Dept, Skikda, Algeria
来源：
JOURNAL OF INFORMATION AND ORGANIZATIONAL SCIENCES | 2018年 / 42卷 / 02期
关键词：
Content Based Image Retrieval; Feature Selection; Matching Measure Selection; Sub-space Selection; efficiency; effectiveness;
D O I：
10.31341/jios.42.2.4
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Since its appearance as a research field, Content-based Image Retrieval (CBIR) system has increasingly received an important attention. Review of literature reveals that the efforts put, up to now, in the field address either effectiveness or efficiency. In this paper, we address both accuracy and efficiency through introducing an efficient and an effective image retrieval approach based on feature, matching measure and sub-spaceselection. The selection relies on relevance feedback information injected by the user. The approach is tested on Corel-1Kimages database. The obtained results are very promising.
引用
收藏
页码：231 / 240
页数：10
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