| 图像检索中一种有效的SVM相关反馈算法 |
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| 引用本文： | 周建新,高科,李锦涛,张勇东,唐胜.图像检索中一种有效的SVM相关反馈算法[J].计算机辅助设计与图形学学报,2007,19(4):535-540. |
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| 作者姓名： | 周建新 高科 李锦涛 张勇东 唐胜 |
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| 作者单位： | 1. 中国科学院计算技术研究所虚拟现实技术实验室,北京,100080;中国科学院研究生院,北京,100049
2. 中国科学院计算技术研究所虚拟现实技术实验室,北京,100080 |
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| 基金项目： | 国家自然科学基金
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国际科技合作项目
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北京市科技计划 |
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| 摘 要： | 提出受限随机选择方法.首先对图像进行相似性排序;然后使用一个阈值限定随机选择的范围;最后在该范围内进行划分,在子范围内通过随机选择来扩大训练样本,较好地解决了小样本问题.另外,动态计算多个SVM分类器的权值,融合分类结果,较好地解决了相关反馈过程中用户的不同喜好问题.实验结果表明了该方法的有效性.
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| 关 键 词： | 受限随机选择 SVM 相关反馈 融合 图像检索 相关 反馈算法 Image Retrieval Based Scheme Relevance Feedback 有效性 方法 分类结果 实验 好问题 用户 反馈过程 融合 权值 分类器 动态计算 小样本问题 训练样本 |
| 收稿时间： | 2006-07-12 |
| 修稿时间： | 2006-07-122007-01-05 |
Efficient Relevance Feedback Scheme Based on SVM in Image Retrieval |
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| Zhou Jianxin,Gao Ke,Li Jintao,Zhang Yongdong,Tang Sheng.Efficient Relevance Feedback Scheme Based on SVM in Image Retrieval[J].Journal of Computer-Aided Design & Computer Graphics,2007,19(4):535-540. |
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| Authors: | Zhou Jianxin Gao Ke Li Jintao Zhang Yongdong Tang Sheng |
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| Affiliation: | 1 Virtual Reality Laboratory , lnstitute of Cornputing Technology, Chinese Acaderny of Sciences , Beijing 100080; 2 Graduate University of Chinese Academy of Sciences, Beijing 100049 |
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| Abstract: | An approach called constrained random selection for relevance feedback is proposed in this paper. At first, all the images are sorted by similar measure, and then a threshold is selected to restrict the space of random selection. At last, the restricted space is divided into some sub-spaces, and random selection is applied to these sub-spaces to enlarge the training sets and resolve the small sample problem preferably. In addition, we compute the weights of multiple SVM classifiers dynamically and fuse the single results to resolve the users' preference problems in relevance feedback preferably. Experimental results demonstrate the effectiveness of the method. |
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| Keywords: | constrained random selection SVM relevance feedback fusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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