Image retrieval by estimating parameters of distance measure
Image retrieval by estimating parameters of distance measure
复制标题
通过估计距离测量参数进行图像检索
DOI：
10.1117/12.373575
复制
发表时间：
1999
影响因子：
3.3
通讯作者：
Y. Sakai
中科院分区：
文献类型：
--
作者：
A. Kobayashi;Toshiyuki Yoshida;Y. Sakai
本文描述了一种图像检索系统，该系统在数据库中搜索与用户想象的目标相似的图像。该系统使用图像特征而不是关键字，并通过估计距离参数来检索图像。我们使用马氏距离作为距离度量。系统首先向用户呈现一些具有合适特征向量值的图像，并要求用户选择与他心目中的目标相似的图像。根据用户的选择，系统修改距离参数。持续该过程直到目标区域减小到合适的体积。由于该方法不需要真实的目标图像，也不需要关键词来进行检索，因此非常简单实用。实验结果表明了该系统的优势和效率。
This paper describes an image retrieval system that searches a database for images similar to a target imagined by a user. The system uses image features, rather than keywords, and retrieves images by estimating distance parameters. We use the Mahalanobis distance as the distance measure. The system, first, presents the user some images with a suitable feature vector value and asks the user to select images that are similar to the target he has in mind. Based on the user's selection, the system revises the distance parameters. This process is continued until the target region is reduced to a suitable volume. Since this method requires neither a real target image nor keywords to do the retrieval, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.