The Combination of Techniques for Automatic Semantic Image Annotation Generation in the IMAGINATION Application
A. Walter, and G. Nagypal. The Semantic Web: Research and Applications, page 879--883. (2008)Demo Paper.
Abstract
The IMAGINATION project provides image-based navigation for digital cultural and scientific resources. Users can click on
parts of an image to find other, interesting images to a given context. In this paper, we present the core parts of the IMAGINATIONapplication. To allow the navigation through images, this application automatically generates high quality semantic metadata.Therefore it combines automated processes for person and object detection, face detection and identification in images togetherwith text mining techniques that exploit domain specific ontologies.
%0 Conference Paper
%1 Walter2008Combination
%A Walter, Andreas
%A Nagypal, Gabor
%B The Semantic Web: Research and Applications
%D 2008
%K annotation automatic global image kat phd reasoning semantic thesis-fuzzydls thesis-semantic-multimedia
%P 879--883
%T The Combination of Techniques for Automatic Semantic Image Annotation Generation in the IMAGINATION Application
%U http://dx.doi.org/10.1007/978-3-540-68234-9_77
%X The IMAGINATION project provides image-based navigation for digital cultural and scientific resources. Users can click on
parts of an image to find other, interesting images to a given context. In this paper, we present the core parts of the IMAGINATIONapplication. To allow the navigation through images, this application automatically generates high quality semantic metadata.Therefore it combines automated processes for person and object detection, face detection and identification in images togetherwith text mining techniques that exploit domain specific ontologies.
@inproceedings{Walter2008Combination,
abstract = {The IMAGINATION project provides image-based navigation for digital cultural and scientific resources. Users can click on
parts of an image to find other, interesting images to a given context. In this paper, we present the core parts of the IMAGINATIONapplication. To allow the navigation through images, this application automatically generates high quality semantic metadata.Therefore it combines automated processes for person and object detection, face detection and identification in images togetherwith text mining techniques that exploit domain specific ontologies.},
added-at = {2008-07-02T17:13:16.000+0200},
author = {Walter, Andreas and Nagypal, Gabor},
biburl = {https://www.bibsonomy.org/bibtex/243eb5e42552668d098d51cc2a9314e22/casi},
booktitle = {The Semantic Web: Research and Applications},
interhash = {356bccdfd1b243f5aa1070194bc8c32f},
intrahash = {43eb5e42552668d098d51cc2a9314e22},
keywords = {annotation automatic global image kat phd reasoning semantic thesis-fuzzydls thesis-semantic-multimedia},
note = {Demo Paper},
pages = {879--883},
timestamp = {2009-07-13T11:40:53.000+0200},
title = {The Combination of Techniques for Automatic Semantic Image Annotation Generation in the IMAGINATION Application},
url = {http://dx.doi.org/10.1007/978-3-540-68234-9_77},
year = 2008
}