A pyramidal approach to content-based image retrieval

被引：0
|
作者：
Li, Ze-Nian [1 ]
机构：
[1] Simon Fraser Univ, Sch Comp Sci, Burnaby, BC V5A 1S6, Canada
来源：
GMAI 2007: GEOMETRIC MODELING AND IMAGING, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/GMAI.2007.8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Search based on image contents is an important issue in large image and video databases. In this paper two methods for a better content-based image retrieval (CBIR) are presented, namely the use of recognition kernel and locales. Features of model objects are extracted at levels that are most appropriate to yield only, the necessary yet sufficient details, together they form the kernel. Instead of relying on image segmentation, a method of feature localization based on locales is developed. It is shown that the deployment of the recognition kernel and locales in a pyramidal (multiresolution) framework delivers good retrieval results.
引用
收藏
页码：109 / 114
页数：6
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