System of description and fast image retrieval in the large database

被引：0
|
作者：
Zagoruiko, NG [1 ]
Gulyaevsky, SE [1 ]
Dubanov, VV [1 ]
Kutnenko, OA [1 ]
机构：
[1] Russian Acad Sci, Inst Math, Novosibirsk 630090, Russia
来源：
Proceedings of the Second IASTED International Multi-Conference on Automation, Control, and Information Technology - Signal and Image Processing | 2005年
关键词：
images description; nearest analogue; fast retrieval; collective decision rule;
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：
Description methods of black-and white micro-photos and fast ways of the nearest analogue retrieval to the given photo in the large scope data base are presented. Two-leveled collective decision rule is used while making decision. Tests results for described methods on the model and real data are given. Collective decision rule provides high recognition reliability. "Locator" algorithm allows effective pretenders' number to the role of the nearest analogue reduction. For large databases this algorithm retrieval time is lower then the full overrun search time on 2-3 orders.
引用
收藏
页码：210 / 214
页数：5
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