by Schober, Jean-Pierre, Hermes, Thorsten and Herzog, Otthein
Abstract:
Large amount of images need an efficient way of retrieving them. The usual approach of manually annotating images and/or providing a syntactic retrieval capability lacks flexibility and comfort. The automatic annotation of images is a main target of the image retrieval community. These so called content-based image retrieval (CBIR) systems focus on primitive features, as Eakins and Graham name them. Description logics (DL) offer a useful contribution to content-based image retrieval while allowing logical reasoning about the semantic contents of the image and ending with consistent classification results. This is a main advantage about traditional classification algorithms. Another advantage is the possibility to use domain knowledge, which is formulated in DL, on the retrieval side, thus offering a semantic retrieval. In this paper we present an approach and the results of adopting a DL for classifying image regions.
Reference:
Schober, Jean-Pierre, Hermes, Thorsten and Herzog, Otthein, "Picturefinder: Description Logics for Semantic Image Retrieval", In IEEE International Conference on Multimedia and Expo, 2005. ICME 2005, IEEE, Amsterdam, pp. 1571–1574, 2005.
Bibtex Entry:
@INPROCEEDINGS{Schoberb,
author = {Schober, Jean-Pierre and Hermes, Thorsten and Herzog, Otthein},
title = {Picturefinder: Description Logics for Semantic Image Retrieval},
booktitle = {IEEE International Conference on Multimedia and Expo, 2005. ICME
2005},
year = {2005},
pages = {1571--1574},
address = {Amsterdam},
month = {July},
publisher = {IEEE},
abstract = {Large amount of images need an efficient way of retrieving them. The
usual approach of manually annotating images and/or providing a syntactic
retrieval capability lacks flexibility and comfort. The automatic
annotation of images is a main target of the image retrieval community.
These so called content-based image retrieval (CBIR) systems focus
on primitive features, as Eakins and Graham name them. Description
logics (DL) offer a useful contribution to content-based image retrieval
while allowing logical reasoning about the semantic contents of the
image and ending with consistent classification results. This is
a main advantage about traditional classification algorithms. Another
advantage is the possibility to use domain knowledge, which is formulated
in DL, on the retrieval side, thus offering a semantic retrieval.
In this paper we present an approach and the results of adopting
a DL for classifying image regions.},
owner = {pmania},
timestamp = {2012.11.06},
url = {http://www.tzi.de/grp/ag-ki/download/2004/Schober2004.pdf}
}