摘要
针对基于语义网络的图像检索中的过反馈问题,本文提出了将语义网络转换为语义矩阵,采用基于多用户相关反馈的投票机制,可有效地克服过反馈。在此基础上提出了一种新颖的新图添加策略和处理语义向量查询的有效方法,最后指出了还需进一步研究的问题。
To solve the problem of overfull feedback during image retrieval based on semantic network, this paper proposes to convert semantic network into semantic matrix, and utilizes a voting mechanism based on multi -user relevance feedback to effectively overcome overfull feedback. Based on the semantic matrix and voting mechanism, a novel strategy of adding new images into the retrieval system is brought forward, and an effective method of dealing with queries in the form of semantic vector is proposed. Finally, the paper puts forward the issues for further study.
出处
《情报理论与实践》
CSSCI
北大核心
2008年第1期129-133,共5页
Information Studies:Theory & Application
基金
国家自然科学基金资助项目"基于语义网的多媒体知识元发现与挖掘"研究成果之一
项目编号:70503022
关键词
图像检索
语义网
语义矩阵
相关反馈
image retrieval
semantic network
semantic matrix
relevance feedback
