%0 Journal Article
%T Construction Method of a New Type Semantic Network for Image Retrieval<br>一种新型图像检索语义网络构建方法*
%A SHEN Yu-li
%A GUO Lei
%A GENG Yuan
%A <br>沈玉利
%A 郭雷
%A 耿苑
%J 计算机应用研究
%D 2005
%I 
%X Self-learning semantic network is now a resultful method of achieving high-level image semanteme. For remedying the shortcomings of the existing methods, this paper proposes the construction method of a new type semantic network for the image retrieval. The method supports the image retrieval by combining the three techniques: low-level feature, relevant feedback, and semantic network. The experiment results proved that this method can enhance the system's retrieval efficiency.
%K Semantic Image Retrieval
%K Relevant Feedback
%K Keyword Networks<br>语义图像检索
%K 相关反馈
%K 关键字网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1C57C6C940B17259&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=F3090AE9B60B7ED1&sid=856C2E13D1000DB7&eid=2DBBF45CC176713E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=6&reference_num=8