| 基于内容的图像检索中SVM和Boosting方法集成应用 |
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| 引用本文： | 解洪胜,张虹.基于内容的图像检索中SVM和Boosting方法集成应用[J].计算机应用,2009,29(4):979-981,. |
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| 作者姓名： | 解洪胜 张虹 |
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| 作者单位： | 1. 中华女子学院山东分院,计算机系,济南,250300
2. 中国矿业大学,计算机科学与技术学院,江苏,徐州,221008 |
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| 基金项目： | 国家杰出青年科学基金 |
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| 摘 要： | 提出一种适用于图像内容检索的AdaBoostSVM算法。算法思想是采用支持向量机(SVM)作为AdaBoost算法的分量分类器；基于相关反馈检索机制，通过增加重要样本来模拟AdaBoost算法的权重调整方法。在包含2000幅图像的数据库中进行了检索实验，结果表明AdaBoostSVM算法能有效提高系统的检索性能。
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| 关 键 词： | 基于内容的图像检索 相关反馈 支持向量机 AdaBoost算法 |
| 收稿时间： | 2008-10-21 |
| 修稿时间： | 2008-12-03 |
Ensemble application of SVM and Boosting in content-based image retrieval |
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| XIE Hong-sheng,ZHANG Hong.Ensemble application of SVM and Boosting in content-based image retrieval[J].journal of Computer Applications,2009,29(4):979-981,. |
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| Authors: | XIE Hong-sheng ZHANG Hong |
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| Affiliation: | 1.Department of Computer Science and Technology;Women's Academy at Shandong;Jinan Shandong 250300;China;2.School of Computer Science and Technology;China University of Mining Technology;Xuzhou Jiangsu 221008;China |
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| Abstract: | An AdaBoostSVM (AdaBoost Support Vector Machine) algorithm applied to content-based image retrieval was proposed. It uses Support Vector Machine (SVM) as component classifier of the AdaBoost algorithm, and simulates the basic sample re-weighting method of AdaBoost algorithm by adding important samples based on relevance feedback mechanism. The experimental results show that the AdaBoostSVM algorithm can improve the performance of retrieval system in the database of 2000 images effectively. |
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| Keywords: | Content-Based Image Retrieval (CBIR) relevance feedback Support Vector Machine (SVM) Adaboost algorithm |
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