Picturefinder: Description Logics for Semantic Image Retrieval (bibtex)
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}
}
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