Vectorization of Content-based Image Retrieval Process Using Neural Network

Hanen Karamti, Mohamed Tmar, Faiez Gargouri

Abstract

The rapid development of digitization and data storage techniques resulted in images’ volume increase. In order to cope with this increasing amount of informations, it is necessary to develop tools to accelerate and facilitate the access to information and to ensure the relevance of information available to users. These tools must minimize the problems related to the image indexing used to represent content query information. The present paper is at the heart of this issue. Indeed, we put forward the creation of a new retrieval model based on a neural network which transforms any image retrieval process into a vector space model. The results obtained by this model are illustrated through some experiments.

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Paper Citation


in Harvard Style

Karamti H., Tmar M. and Gargouri F. (2014). Vectorization of Content-based Image Retrieval Process Using Neural Network . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-028-4, pages 435-439. DOI: 10.5220/0004972004350439


in Bibtex Style

@conference{iceis14,
author={Hanen Karamti and Mohamed Tmar and Faiez Gargouri},
title={Vectorization of Content-based Image Retrieval Process Using Neural Network},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2014},
pages={435-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004972004350439},
isbn={978-989-758-028-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Vectorization of Content-based Image Retrieval Process Using Neural Network
SN - 978-989-758-028-4
AU - Karamti H.
AU - Tmar M.
AU - Gargouri F.
PY - 2014
SP - 435
EP - 439
DO - 10.5220/0004972004350439