J4 ›› 2010, Vol. 48 ›› Issue (02): 265-269.

• 计算机科学 • 上一篇    下一篇

基于描述逻辑的图像检索框架

王淞昕   

  1. 上海财经大学 计算机科学与技术系, 上海 200433
  • 收稿日期:2009-02-18 出版日期:2010-03-26 发布日期:2010-03-22
  • 通讯作者: 王淞昕 E-mail:sxwang@mail.shufe.edu.cn

Framework for Image Retrieval Based on Description Logic

WANG Songxin   

  1. Department of Computer Science and Technology, Shanghai University of Finance and Economics, Shanghai 200433, China
  • Received:2009-02-18 Online:2010-03-26 Published:2010-03-22
  • Contact: WANG Songxin E-mail:sxwang@mail.shufe.edu.cn

摘要:

提出一种新的基于描述逻辑的、 能处理带有分层信度的图像语义信息的图像检索框架, 以解决不确定背景知识的图像检索问题.
 该框架能处理具有分层信度的不确定语义信息, 给出了形状及语义两层模型表述图形信息, 提出一种能描述分层信度知识的描述逻辑U-ALC, 将图像信息检索化归为描述逻辑U-ALC中的逻辑推理, 并给出了描述逻辑U-ALC的推理算法.

关键词: 图像检索, 描述逻辑, 不确定性推理

Abstract:

A framework in which information about images’s form and information about images’s content are addressed in a principled way is proposed so as to solve the image retrieval problems of uncertain background knowledge. The framework can deal with the semantic information with various levels of confidence. A two level model consistent of form and content is proposed to represent images, an uncertainty description logic called UALC is proposed to deal with the semantic information with uncertainty, the task of images retrieval is thus reduced to logical reasoning in UALC, a reasoning algorithm of UALC is given finally.

Key words: image retrieval, description logic, uncertainty reasoning

中图分类号: 

  • TP301