Normal and Reverse Order Serial Models for Huge Image Database Based on Formal Concept Analysis

摘要：

　　In order to mine information effectively in the huge image database, we propose normal and reverse order serial models for two attribute partial order structure diagrams generated by the different attribute group for the same object group. And through a simple example using huge video/image database randomly selected from internet, it is confirmed the effectiveness and brevity of the proposed method, to provide a new method of image mining and to discover more hierarchical relationship.

关键词： Formal Concept Analysis Attribute Partial Order Image Database Serial Model

作者: Jianbo Liu Xiaomin Wang Yanyan Zhang Jingfei Yang

作者单位: School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, 064000 Department of Mathematics and Information Science, Tangshan Teacher’s College, Tangshan, 063000

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 5187-5191

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）