%0 Journal Article
%T Novel Method of Mapping Semantic Gap<br>一种新颖的低层视觉特征到高层语义的映射方法
%A MO Hao-lan
%A SHI Yue-xiang
%A WEN Li
%A <br>莫浩澜
%A 石跃祥
%A 文立
%J 计算机应用研究
%D 2007
%I 
%X Firstly color and the texture features were extracted.Secondly used the fuzzy nerve network to map low-features and the high-level semantic features.So this method had realized information of image's attribution effective transmission and reliable retrieval.Finally,in the image retrieval system,introduced correlation feedback to enhance the retrieval efficiency.The experiment proves that it has obtained the high accuracy.
%K semantic image retrieval
%K partial color and texture features
%K fuzzy nerve network
%K correlation feedback<br>语义图像检索
%K 局部颜色和纹理特征
%K 模糊神经网络
%K 相关反馈
%K 视觉特征
%K 高层语义
%K 映射方法
%K Semantic
%K Mapping
%K Method
%K of
%K 准确率
%K 查全率
%K 验证
%K 检索系统
%K 相关反馈
%K 检索效率
%K 有效传递
%K 属性信息
%K 语义特征
%K 神经网络
%K 模糊
%K 再利用
%K 纹理特征
%K 颜色
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF4AD2E7BFCF0B3017F5DFA8B5A70A84&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=B31275AF3241DB2D&sid=DABEF202280E7EF1&eid=A58CF3BAE79427D0&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=19