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
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.
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