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Proceedings Paper

Individualized image browsing and retrieval using multiple descriptions
Author(s): Saadallah Jomni; Kokou Yetongnon
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Paper Abstract

Recently with the rapid growth of multimedia industry, images are used by many people for a variety of applications. To represent and retrieve these images efficiently, various methods have been proposed. In this paper, A new method for image retrieval is presented. This method uses multiple descriptions at different levels to represent images. This model allows the use of all levels of descriptions in the retrieval process, hence permits not only semantic search but also syntactic search. The quick content-based visual access to the stored images is essential for efficient navigation through image collections. At the time of visual access to image database, the users have very different objectives. Users' interests may vary from one person to another. In order to satisfy the information needs of users, it is of paramount importance to effectively and efficiently adapt the retrieval process to each user. In our approach the retrieval process is guided by the user's retrieval intentions according to his/her needs and preferences. These characteristics of the retrieval method increase the retrieval efficiency and makes the model very flexible as it can be used universally for retrieving images from different domains. We have applied the proposed approach to a range of color images, and obtained positive results.

Paper Details

Date Published: 20 December 2001
PDF: 9 pages
Proc. SPIE 4672, Internet Imaging III, (20 December 2001); doi: 10.1117/12.452688
Show Author Affiliations
Saadallah Jomni, Univ. de Bourgogne (France)
Kokou Yetongnon, Univ. de Bourgogne (France)

Published in SPIE Proceedings Vol. 4672:
Internet Imaging III
Giordano B. Beretta; Raimondo Schettini, Editor(s)

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