Content-based Image Retrieval Based on Vector Quantization and Affine Invariant Region

被引：1
|
作者：
Lee, Chin-Feng [1 ]
Wang, Shu-Ching [1 ]
Wang, Yi-Jia [1 ]
机构：
[1] Chaoyang Univ Technol, Dept Informat Management, Wufong Township 41349, Taichung County, Taiwan
来源：
ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, PROCEEDINGS | 2008年
关键词：
Content-based image retrieval; vector quantization; affine invariant region;
D O I：
10.1109/ISDA.2008.96
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The content-based image retrieval (CBIR) is the most acceptable and often used image retrieval method, because it can be used to manage image database efficiently and effectively. The CBIR methods usually retrieve the images by image features. In this paper, we exploit a region called affine invariant region (AIR) as an image feature to help effectively retrieving the images which have been attacked or processed. Moreover, we use vector quantization to reduce the features comparison for improving the retrieval efficiency. The experimental results show that the method with high recall and precision is promising.
引用
收藏
页码：287 / 290
页数：4
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