DocumentCode :
2859704
Title :
An Ontology-based Approach to Retrieve Digitized Art Images
Author :
Jiang, Shuqiang ; Huang, Tiejun ; Gao, Wen
Author_Institution :
Chinese Academy of Sciences, Beijing
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
131
Lastpage :
137
Abstract :
Although much progress has been made, current low-level based visual information retrieval technology does not allow users to formulate queries through high-level semantics. More and more digitized art images appear on the Internet, and techniques need to be established on how to organize and retrieve them. In this work, a framework for retrieving art images using an ontology-based method is introduced. The proposed ontology describes images in various aspects. Non-objectionable semantics are first introduced, and how to express these semantics is given. Concepts in the ontology could be automatically derived. The retrieval scheme makes users more naturally find visual information and experimental implementation demonstrates good potential on retrieving art images in a human-centered manner.
Keywords :
Art; Content based retrieval; Data mining; Humans; Image databases; Image retrieval; Information retrieval; Internet; Ontologies; Subspace constraints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2100-2
Type :
conf
DOI :
10.1109/WI.2004.10034
Filename :
1410794
Link To Document :
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