RULE BASED MODELLING OF IMAGES SEMANTIC CONCEPTS

Stefan Udristoiu, Anca Ion, Dan Mancas

Abstract

In this paper we study the possibilities to discover correlations between visual primitive and high-level characteristics of images, meaning the extraction of semantic concepts. The design and developing of algorithms for image semantic annotation are the main contribution of this paper. The proposed methods are based on developing algorithms that automatically discover semantic rules to identify image categories. A semantic rule is a combination of semantic indicator values that identifies semantic concepts of images. Some models for representing the images and rules are also developed. The annotation methods are not limited to any specific domain and they can be applied in any field of digital imagery.

References

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Paper Citation


in Harvard Style

Udristoiu S., Ion A. and Mancas D. (2010). RULE BASED MODELLING OF IMAGES SEMANTIC CONCEPTS . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 540-543. DOI: 10.5220/0002715505400543


in Bibtex Style

@conference{icaart10,
author={Stefan Udristoiu and Anca Ion and Dan Mancas},
title={RULE BASED MODELLING OF IMAGES SEMANTIC CONCEPTS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={540-543},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002715505400543},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - RULE BASED MODELLING OF IMAGES SEMANTIC CONCEPTS
SN - 978-989-674-021-4
AU - Udristoiu S.
AU - Ion A.
AU - Mancas D.
PY - 2010
SP - 540
EP - 543
DO - 10.5220/0002715505400543