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Received:September 16, 2009 Revised:November 04, 2009
Received:September 16, 2009 Revised:November 04, 2009
中文摘要: 提出一种基于多示例学习(Multiple-instance learning)的图像检索方法，将多示例学习应用于图像检索中，以有效的处理图像的歧义性。该方法首先将图像作为多示例包，其次采用自适应k-means图像分割算法将图像自动分成多个示例，然后根据用户选择的实例图像生成正包和反包，再采用EM-DD(expectation maximization diverse density)算法进行多示例学习，实现图像检索和相关反馈，最终使用户得到比较满意的结果。
Abstract:In this paper, a multi-instance learning-based CBIR (content-based image retrieval) approach is presented, and multi-instance learning is applied in CBIR in order to deal with the inherent ambiguity of images. First of all, the whole image is regarded as a multi-instance bag. Secondly, the image is partitioned into a number of regions using Adaptive k-means image segmentation method. Then query images posed by the user are transformed into corresponding positive and negative bags and a EM-DD algorithm is employed for image retrieval and relevance feedback. Finally, the users can get satisfactory results.
keywords: multiple-instance learning expectation maximization diverse density content-based image retrieval rele- vance feedback
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| WANG Chun-Yan | 北京林业大学 信息学院 北京 100083 |
| YUAN Jin-Sheng |
| Author Name | Affiliation |
| WANG Chun-Yan | 北京林业大学 信息学院 北京 100083 |
| YUAN Jin-Sheng |
引用文本：
王春燕,袁津生.一种结合多示例学习的图像检索方法①.计算机系统应用,2010,19(6):212-215
WANG Chun-Yan,YUAN Jin-Sheng.An Image Retrieval Method with Multi-Instance Learning.COMPUTER SYSTEMS APPLICATIONS,2010,19(6):212-215
王春燕,袁津生.一种结合多示例学习的图像检索方法①.计算机系统应用,2010,19(6):212-215
WANG Chun-Yan,YUAN Jin-Sheng.An Image Retrieval Method with Multi-Instance Learning.COMPUTER SYSTEMS APPLICATIONS,2010,19(6):212-215
