USING ASSOCIATION RULES AND SPATIAL WEIGHTING FOR AN EFFECTIVE CONTENT BASED-IMAGE RETRIEVAL

Ismail Elsayad, Jean Martinet, Thierry Urruty, Taner Danisman, Haidar Sharif, Chabane Djeraba

2010

Abstract

Nowadays, having effective methods for accessing the desired images is essential with the huge amount of digital images. The aim of this paper is to build a meaningful mid-level representation of visual documents to be used later for matching between the query image and other images in the desired database. The approach is based firstly on constructing different visual words using local patch extraction and fusion of descriptors. Then, we represent the spatial constitution of an image as a mixture of n Gaussians in the feature space. Finally, we extract different association rules between frequent visual words in the local context of the image to construct visual phrases. Experimental results show that our approach outperforms the results of traditional image retrieval techniques.

Paper Citation

in Harvard Style

Elsayad I., Martinet J., Urruty T., Danisman T., Sharif H. and Djeraba C. (2010). USING ASSOCIATION RULES AND SPATIAL WEIGHTING FOR AN EFFECTIVE CONTENT BASED-IMAGE RETRIEVAL . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 112-117. DOI: 10.5220/0002836101120117

in Bibtex Style

@conference{visapp10,
author={Ismail Elsayad and Jean Martinet and Thierry Urruty and Taner Danisman and Haidar Sharif and Chabane Djeraba},
title={USING ASSOCIATION RULES AND SPATIAL WEIGHTING FOR AN EFFECTIVE CONTENT BASED-IMAGE RETRIEVAL},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002836101120117},
isbn={978-989-674-028-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - USING ASSOCIATION RULES AND SPATIAL WEIGHTING FOR AN EFFECTIVE CONTENT BASED-IMAGE RETRIEVAL
SN - 978-989-674-028-3
AU - Elsayad I.
AU - Martinet J.
AU - Urruty T.
AU - Danisman T.
AU - Sharif H.
AU - Djeraba C.
PY - 2010
SP - 112
EP - 117
DO - 10.5220/0002836101120117