| 基于显著点特征多示例学习的图像检索方法 |
| |
| 引用本文： | 李杰,程义民,葛仕明,曾丹.基于显著点特征多示例学习的图像检索方法[J].光电子．激光,2008,19(10). |
| |
| 作者姓名： | 李杰 程义民 葛仕明 曾丹 |
| |
| 作者单位： | 中国科学技术大学电子科学与技术系,安徽,合肥,230027 |
| |
| 基金项目： | 中国科技大学校科研和教改项目 |
| |
| 摘 要： | 提出了一种基于图像显著点特征进行多示例学习(Multiple-instance learning)的图像检索方法.该方法对图像进行小波分解并跟踪不同尺度小波系数提取图像显著点;然后利用显著点特征进行检索,并在相关反馈中将图像看作多示例包,通过期望最大多样性密度(EM-DD,expectation maximization diverse density)方法进行多示例学习,获得体现图像语义的日标特征.在Corel和SIVAL两个图像库进行实验,结果表明该方法明显提高了检索的准确性.
|
| 关 键 词： | 图像检索 小波显著点 多示例学习 多样性密度 |
A method for image retrieval based On salient points feature multiple-instance learning |
| |
| LI Jie,CHENG Yi-min,GE Shi-ming,ZENG Dan.A method for image retrieval based On salient points feature multiple-instance learning[J].Journal of Optoelectronics·laser,2008,19(10). |
| |
| Authors: | LI Jie CHENG Yi-min GE Shi-ming ZENG Dan |
| |
| Affiliation: | LI Jie,CHENG Yi-min,GE Shi-ming,ZENG Dan (Department of Electronic Science& Technology,University of Science& Technology of China,Hefei,Anhui 230027,China) |
| |
| Abstract: | A novel method based on multiple-instance learning with salient points is presented for content-based image retrieval.This method extracts salient points of image by tracking wavelet coefficients of different scales,and then the global statistical feature of salient points is used for image retrieval.In relevant feedback,images containing salient points are treated as multiple-instance bag,and trained using expectation maximization diverse density(EM-DD) algorithm.A target feature representing the image con... |
| |
| Keywords: | image retrieval wavelet-based salient points multiple-instance learning diverse density |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《光电子．激光》浏览原始摘要信息 |
|
点击此处可从《光电子．激光》下载全文 |
|
