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Published Articles >> Table of Contents >> Abstract
14th International Conference on Electronics, Communications and Computers
p. 288
Ontological shape-description, a new method for visual information retrieval
Alberto Chavez-Aragon, Universidad de las Américas Puebla
Oleg Starostenko, Universidad de las Américas Puebla
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICECC.2004.1269588
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| Abstract |
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There is a growing need for efficient visual information retrieval systems which take into account particular features of images, in order to avoid nonsense results. In this paper we propose a new method for content-based image retrieval, which can be divided into two main parts. 1) Automatic segmentation and extraction of shapes from image sub-regions. 2) Ontological descriptions of shapes contained in images. Our method allows users to perform sketch queries; these are simple drawings which represent the main idea of something the user is expecting to retrieve from the results. Once the user introduces a sketch, it is simplified using discrete curve evolution, then, it is turned into a tangent space representation. Similarity measures based on turning functions are used to recover similar images. An ontology reduces the proportion of non-sense results since the ontology permits the recovery of images related semantically, even if they do not have similar shapes
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 Additional Information
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Index Terms- Content-based image retrieval, image indexing,
shape, ontologies
Citation:
Alberto Chavez-Aragon, Oleg Starostenko,
"Ontological shape-description, a new method for visual information retrieval,"
conielecomp,
p. 288,
14th International Conference on Electronics, Communications and Computers,
2004
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