Old fashion text-based image retrieval using FCA

被引：0
|
作者：
Ahmad, I [1 ]
Jang, TS [1 ]
机构：
[1] Univ Windsor, Sch Comp Sci, Windsor, ON N9B 3P4, Canada
来源：
2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The ability to effectively retrieve non-alphanumeric data is a complex problem and an on going research issue. In this paper, a new image retrieval technique based on Formal Concept Analysis (FCA) is proposed. This technique allows fast retrieval of images from the database such that the retrieval efficiency depends on the number of attributes rather than the number of images in the database. The scheme provides dynamic support for addition of new images but can be used only when a priori knowledge about the domain is available.
引用
收藏
页码：33 / 36
页数：4
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