loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hanen Karamti ; Mohamed Tmar and Faiez Gargouri

Affiliation: Université de Sfax, Tunisia

ISBN: 978-989-758-028-4

Keyword(s): Content Based Image Retrieval, Image, Retrieval Model, Neural Network, Query, Vector Space Model.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Methodologies and Methods ; Multimedia Systems ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Semiotics ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Theory and Methods

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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.232.99.123

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.