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Authors: Kaouther Zekri 1 ; Amel Grissa Touzi 2 and Noureddine Ellouze 1

Affiliations: 1 Tunis El Manar University and SITI, Tunisia ; 2 FST, Tunis El Manar University and LIPAH, Tunisia

ISBN: 978-989-758-103-8

ISSN: 2184-285X

Keyword(s): Images Manipulation, Content-based Image Retrieval, Oracle DBMS, Search Queries, Signature, Similarity Measure, Semantic Description.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Business Analytics ; Data Analytics ; Data Engineering ; Data Management and Quality ; Data Management for Analytics ; Data Modeling and Visualization ; Database Architecture and Performance ; Databases and Data Security ; Information Quality ; Information Retrieval ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering ; Symbolic Systems ; Transparency in Research Data

Abstract: Today, image retrieval system has become a vital necessity for computing users. Different search systems are increasingly invading the computing software markets, such as QBIC, Photobook and BlobWord. The only negative point these systems have in common is their lack of semantics in query processing, low interactivity and the irrelevance of search results. To overcome these limitations, we propose a more efficient alternative system: a system for image retrieval. This new system provides an intelligent search by content, by keyword, by index, etc. To confirm our approach, we have defined a combination with Oracle DBMS that would lead to 1) an advanced modeling of image type using a signature that describes the physical and semantic content of images, 2) the modeling of different types of search by creating stored procedures in PL/SQL language and 3) simple storage and handling of images in database through an intuitive interface. We prove that this system can be used in a distributed environment. (More)

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Paper citation in several formats:
Zekri, K.; Grissa Touzi, A. and Ellouze, N. (2015). Visual-CBIR: Platform for Storage and Effective Manipulation of a Database Images. In Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA, ISBN 978-989-758-103-8; ISSN 2184-285X, pages 81-90. DOI: 10.5220/0005518900810090

@conference{data15,
author={Kaouther Zekri. and Amel {Grissa Touzi}. and Noureddine Ellouze.},
title={Visual-CBIR: Platform for Storage and Effective Manipulation of a Database Images},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA,},
year={2015},
pages={81-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005518900810090},
isbn={978-989-758-103-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA,
TI - Visual-CBIR: Platform for Storage and Effective Manipulation of a Database Images
SN - 978-989-758-103-8
IS - 2184-285X
AU - Zekri, K.
AU - Grissa Touzi, A.
AU - Ellouze, N.
PY - 2015
SP - 81
EP - 90
DO - 10.5220/0005518900810090

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