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