An Ontology-based Approach to Retrieve Digitized Art Images
S. Jiang, T. Huang, и W. Gao. Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International
Conference on, стр. 131--137. (2004)
Аннотация
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.
%0 Conference Paper
%1 Jiang2004
%A Jiang, Shuqiang
%A Huang, Tiejun
%A Gao, Wen
%B Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International
Conference on
%D 2004
%K imported
%P 131--137
%T An Ontology-based Approach to Retrieve Digitized Art Images
%X 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.
@inproceedings{Jiang2004,
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.},
added-at = {2009-09-12T19:19:34.000+0200},
author = {Jiang, Shuqiang and Huang, Tiejun and Gao, Wen},
biburl = {https://www.bibsonomy.org/bibtex/252a80c275a7a2f9c74ebcf6b2ac49023/mozaher},
booktitle = {Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International
Conference on},
file = {01410794.pdf:concept disambiguation\\context\\20070222\\01410794.pdf:PDF},
interhash = {6c205d152603232b02469910c9825949},
intrahash = {52a80c275a7a2f9c74ebcf6b2ac49023},
keywords = {imported},
owner = {Mozaher},
pages = {131--137},
timestamp = {2009-09-12T19:19:40.000+0200},
title = {An Ontology-based Approach to Retrieve Digitized Art Images},
year = 2004
}