%0 Journal Article
%T Content-based Color Image Retrieval Using Multi-semantics<br>基于多语义特征的彩色图像检索技术研究
%A NIU Pan-pan
%A WANG Xiang-yang
%A ZHOU Lu
%A YANG Hong-ying
%A <br>牛盼盼
%A 王向阳
%A 周璐
%A 杨红颖
%J 计算机科学
%D 2009
%I 
%X The performance of content-based image retrieval (CBIR) systems is largely limited by the gap between the low-level feature and high-level semantic concept.A new content-based color image retrieval method using multi-semantics was proposed,which not only takes into consideration the important image edge information and human visual system,but also utilizes the support vector regression (SVR) theory.Firstly,the important image edge was extracted by using canny detection operator and the low-level texture fea...
%K Image retrieval
%K High-level semantic
%K Support vector regression
%K Human visual system<br>图像检索
%K 高级语义
%K 回归型支持向量机
%K 视觉感知特性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=301A7BF027B99119BF716ABD98835EDC&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=38B194292C032A66&sid=6ED15D8DCB279BC4&eid=FA89360EB995A8AD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=17