Image retrieval system based on interactive reduction of feature space
Image retrieval system based on interactive reduction of feature space
复制标题
基于特征空间交互式约简的图像检索系统
DOI：
10.1117/12.333879
复制
发表时间：
1998
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
本文提出了一个图像检索系统，它搜索数据库中的图像相似的目标由用户想象。该系统使用图像特征而不是关键字，并且通过减少由图像特征向量生成的多维特征空间来检索图像。该系统向用户呈现具有合适的特征向量值的样本图像，并且需要用户的交互以获得关于特定图像的应用的信息。然后使用该信息来适当地减小特征空间。该过程持续进行，直到目标区域缩小到合适的体积。由于该方法不需要真实的目标图像，也不需要检索关键词，因此具有简单实用的特点。实验结果表明了该系统的优越性和有效性。
This paper proposes an image retrieval system, which 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 reducing a multidimensional feature space generated by the image feature vectors. The system presents the user sample images, with a suitable feature vector value, and requires the user's interaction to obtain information regarding application of specific images. The information is then used to appropriately reduce the feature space. This process continues, until the target region is reduced to a suitable volume. Since this method requires neither a real target image nor keywords in retrieving, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.