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基于内容的图像检索中的相关反馈技术发展 被引量：2

The Development of the Relevance Feedback Technology in Content-Based Image Retrieval
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摘要 早期的基于内容的图像检索系统以图像处理技术为中心,研究重点集中在视觉特征的选择和提取方面,而没有充分考虑到人们在视觉方面的主观性和广泛使用的高层次语义概念和低层次视觉特征之间的相关性。为了解决上述问题,相关反馈这项技术被引入到基于内容的图像检索中来。本文介绍了相关反馈的发展,着重阐述了相关反馈技术的各种算法以及其在CBIR中的应用,并对相关反馈的发展方向进行了讨论。 The early content-based image retrieval system is image processing technology-centric, and the focus of the study is selection and extraction of visual features, which don't take the correlation between the visual subjectivity and high-level semantic concepts into account fully. To solve it, the relevance feedback technology is introduced to the content-based image retrieval system. This paper introduces the development of relevance feedback, and we put emphasis on illuminating various algorithms and their applications in CBIR. Finally, the prospect of this technology is also discussed.
作者 徐建军 吴玲达
机构地区 国防科技大学多媒体研究开发中心
出处 《计算机科学》 CSCD 北大核心 2004年第7期200-202,共3页 Computer Science
关键词 内容 图像检索 反馈技术 贝叶斯分类 SVM 支持矢量机 Content-based image retrieval, Relevance feedback,Bayesian classifier,SVM
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献22

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二级参考文献12

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共引文献52

同被引文献17

  • 1王旭红,周明全,耿国华.遥感影像信息挖掘的框架研究[J].计算机应用与软件,2006,23(6):16-18. 被引量：3
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引证文献2

计算机科学
2004年 第7期

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