Aggregation of color and shape features for hybrid query generation in content based visual information retrieval

被引：10
|
作者：
Androutsos, P [1 ]
Kushki, A [1 ]
Plataniotis, KN [1 ]
Venetsanopoulos, AN [1 ]
机构：
[1] Univ Toronto, Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
来源：
SIGNAL PROCESSING | 2005年 / 85卷 / 02期
关键词：
fuzzy feature aggregation; content-based image retrieval; shape; color; spatial information; architectural image database;
D O I：
10.1016/j.sigpro.2004.10.005
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A fuzzy approach for the aggregation of multiple features in content-based image retrieval is outlined. Color, shape and spatial features extracted using both computational and manual segmentation techniques are used for subsequent generation of hybrid queries to a ground truth image database consisting of architectural photographs. Retrieval results for multiple-feature queries are shown in the form of precision recall graphs. The results indicate that the fuzzy approach presented herein can perform at least as well as a weighted mean approach. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：385 / 393
页数：9
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