| 基于虚拟关联反馈与聚类的图像检索技术研究 |
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| 引用本文： | 王小玲,谢康林. 基于虚拟关联反馈与聚类的图像检索技术研究[J]. 计算机工程与设计, 2008, 29(6): 1465-1469 |
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| 作者姓名： | 王小玲 谢康林 |
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| 作者单位： | 1. 上海立信会计学院,信息科学系,上海,201620
2. 上海交通大学,计算机科学与工程系,上海,200030 |
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| 基金项目： | 上海市教育委员会基金 , 上海高校选拔培养优秀青年教师科研专项基金 , 上海市高校高水平特色发展基金 |
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| 摘 要： | 基于虚拟相关反馈(PRF)技术,提出了一种新的自动关联反馈检索方法--外部自动相关反馈(OARF).该方法基于图像内容特征距离,应用K-均值聚类,自动扩展查询图像特征,从而提高检索性能.试验结果表明,OARF能够降低用户负担,显著提高原始检索算法的性能,缩小"语义鸿沟".
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| 关 键 词： | 图像检索 图像语义 虚拟相关反馈 自动相关反馈 K-均值聚类 |
| 文章编号： | 1000-7024(2008)06-1465-04 |
| 修稿时间： | 2007-04-23 |
Research on pseudo-relevance feedback and clustering-based image retrieval |
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| WANG Xiao-ling,XIE Kang-lin. Research on pseudo-relevance feedback and clustering-based image retrieval[J]. Computer Engineering and Design, 2008, 29(6): 1465-1469 |
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| Authors: | WANG Xiao-ling XIE Kang-lin |
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| Affiliation: | WANG Xiao-ling1,XIE Kang-lin2(1.Department of Information Science,Shanghai Lixin University of Commerce,Shanghai 201620,China,2.Department of Computer Science , Engineering,Shanghai Jiaotong University,Shanghai 200030,China) |
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| Abstract: | A novel auto relevance feedback image retrieval method called the outer auto relevance feedback(OARF) is proposed based on the pseudo-relevance feedback technology.This method selects positive images according to the feature distance of images from the initial retrieval results using the K-means clustering approach.Retrieve images to each of the positive images which cover more objective features.Experimental results demonstrate that the OARF can release users' burdens in retrieval and improve the retrieval... |
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| Keywords: | image retrieval image semantic pseudo-relevance feedback auto relevance feedback K-means clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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