YACBIR Yet Another Content Based Image Retrieval system

被引：3
|
作者：
Ait-Aoudia, Samy [1 ]
Mahiou, Ramdane [1 ]
Benzaid, Billel [2 ]
机构：
[1] ESI Ecole Natl Super Informat, BP 68M, Algiers 16270, Algeria
[2] Univ Bourgogne, F-21078 Dijon, France
来源：
2010 14TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2010) | 2010年
关键词：
Indexing Images; Retrieving Images; CBIR (Content Based Image Retrieval) system; Similarity measure;
D O I：
10.1109/IV.2010.83
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Vision is central in human perception. Images are everywhere. Real life applications produce and use huge amounts of different types images. Retrieving an image having some characteristics in a big database is a crucial task. We need then mechanisms for indexing and retrieving images. CBIR (Content Based Image Retrieval) systems perform these tasks by indexing images using the physical characteristics automatically extracted and searching by an image query. We will present a CBIR system named YACBIR (Yet Another CBIR) that combines several properties (color, texture and points of interest) extracted automatically to index and retrieve images.
引用
收藏
页码：570 / 575
页数：6
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