Normal and reverse order serial models for huge image database based on Formal Concept Analysis

Author

Jianbo Liu ; Xiaomin Wang ; Yanyan Zhang ; Jingfei Yang

Author_Institution

Sch. of Math. & Stat., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

5187

Lastpage

5191

Abstract

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.

Keywords

data mining; formal concept analysis; video databases; Internet; attribute group; formal concept analysis; hierarchical relationship discovery; image database; image mining; information mining; normal order serial model; reverse order serial model; two attribute partial order structure diagrams; video database; Context; Educational institutions; Formal concept analysis; Image databases; Lattices; Video sequences; Visualization; Attribute Partial Order; Formal Concept Analysis; Image Database; Serial Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6853106

Filename

6853106