DocumentCode :
682747
Title :
A visualization method of huge video/image databases based on formal concept analysis and the attribute partial order theory
Author :
Yanyan Zhang ; Xiaomin Wang ; Jinkuan Wang ; Jianbo Liu
Author_Institution :
Sch. of Math. & Stat., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
Volume :
01
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
165
Lastpage :
169
Abstract :
In order to improve the visualization of the whole relational structure for the image/video databases, a method based on formal concept analysis and the attribute partial order structure diagram is proposed. By choosing two groups of different attributes for the same object group, two attribute partial order structure diagrams are generated and connected. Then a normal and reverse serial model is obtained. And using huge video/image databases randomly selected from internet as the example, we show that the proposed method is effective to grasp the relational structure and to discover new hierarchical relationships.
Keywords :
data visualisation; formal concept analysis; image sequences; video databases; Internet; attribute partial order structure diagram; attribute partial order theory; formal concept analysis; normal serial model; relational structure; reverse serial model; video database; video/image databases; visualization method; Context; Formal concept analysis; Image databases; Lattices; Video sequences; Visual databases; Visualization; attribute partial order structure diagram; formal concept analysis; image database; information visualization; serial model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
Type :
conf
DOI :
10.1109/CISP.2013.6743979
Filename :
6743979
Link To Document :
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