DocumentCode :
2935140
Title :
Dunhuang Frescoes retrieval based on similarity calculation of color and texture features
Author :
Chang, Zhang ; Jiandong, Jiang ; Yunhe, Pan
Author_Institution :
State Key Lab., Zhejiang Univ., Hangzhou, China
fYear :
1997
fDate :
27-29 Aug 1997
Firstpage :
96
Lastpage :
100
Abstract :
This paper mainly deals with efficient retrieval of Dunhuang Frescoes from large image databases based on similarity calculation of color and texture features. In this paper, we firstly give out a survey of research on Dunhuang Frescoes by artists from all over the world. Therefore, these research achievements can provide us a new clue to organize and manage Dunhuang Frescoes databases, and guide us to find an efficient way to retrieve Dunhuang Frescoes from large-volume image databases. We present a similarity calculation method from multi-source analogy. Then we describe several techniques for extracting the color and texture features of Dunhuang Frescoes. Finally, we calculate the comprehensive similarity between Frescoes using color and texture features. By means of the similarity computation, we can carry on an efficient and fast image database retrieval. A Dunhuang Frescoes retrieval and analysis system demonstrates that retrieval using the combination of color and texture features can assure high precision and robustion
Keywords :
information retrieval; visual databases; Dunhuang Frescoes retrieval; color; large image databases; similarity calculation; texture features; Art; Artificial intelligence; Computer applications; Digital images; Image databases; Image retrieval; Information retrieval; Laboratories; Robustness; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 1997. Proceedings., 1997 IEEE Conference on
Conference_Location :
London
ISSN :
1093-9547
Print_ISBN :
0-8186-8076-8
Type :
conf
DOI :
10.1109/IV.1997.626494
Filename :
626494
Link To Document :
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