首页> 外文会议>International Conference on Artificial Neural Networks >Application of tree structured self-organizing maps in content-based image retrieval
【24h】

Application of tree structured self-organizing maps in content-based image retrieval

机译:树结构的自组织地图在基于内容的图像检索中的应用

获取原文

摘要

We have developed an image retrieval system named PicSOM which uses Tree Structured Self-Organizing Maps (TS-SOMs) as the method for retrieving images similar to a given set of reference images. A novel technique introduced in the PicSOM systemfacilitates automatic combination of the responses from multiple TS-SOMs and their hierarchical levels. This mechanism aims at adapting to the user's preferences in selecting which images resemble each other in the particular sense the user is interested of. The image queries are performed through the World Wide Web and the queries are iteratively refined as the system exposes more images to the user.
机译:我们开发了一个名为Picsom的图像检索系统,它使用树结构的自组织地图(TS-SOM)作为检索类似于给定的参考图像集的图像的方法。 PICSOM中引入的新技术SystemFacilitates自动组合来自多个TS-SOM的响应及其层级。该机制旨在适应用户在用户对用户感兴趣的特定意义上彼此类似的图像的偏好。通过万维网执行图像查询,并且查询被迭代地改进,因为系统对用户暴露了更多图像。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号