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Authors: Gustavo B. Borba 1 ; Humberto R. Gamba 1 ; Liam M. Mayron 2 and Oge Marques 2

Affiliations: 1 CPGEI, Universidade Tecnológica Federal do Paraná, Brazil ; 2 Florida Atlantic University, United States

Keyword(s): Content-based image retrieval, object-based image retrieval, multiple example query, ROI extraction.

Abstract: Conventional content-based image retrieval (CBIR) systems typically do not consider the limitations of the feature extraction-distance measurement paradigm when capturing a user’s query. This issue is compounded by the complicated interfaces that are featured by many CBIR systems. The framework proposed in this work embodies new concepts that help mitigate such limitations. The front-end includes an intuitive user interface that allows for fast image organization though spatial placement and scaling. Additionally, a multiple-image query is combined with a region-of-interest extraction algorithm to automatically trigger global or object-based image analysis. The relative scale of the example images are considered to be indicative of image relevance and are also considered during the retrieval process. Experimental results demonstrate promising results.

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Paper citation in several formats:
B. Borba, G.; R. Gamba, H.; M. Mayron, L. and Marques, O. (2007). INTEGRATED GLOBAL AND OBJECT-BASED IMAGE RETRIEVAL USING A MULTIPLE EXAMPLE QUERY SCHEME. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 143-148. DOI: 10.5220/0002053301430148

@conference{visapp07,
author={Gustavo {B. Borba}. and Humberto {R. Gamba}. and Liam {M. Mayron}. and Oge Marques.},
title={INTEGRATED GLOBAL AND OBJECT-BASED IMAGE RETRIEVAL USING A MULTIPLE EXAMPLE QUERY SCHEME},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={143-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002053301430148},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - INTEGRATED GLOBAL AND OBJECT-BASED IMAGE RETRIEVAL USING A MULTIPLE EXAMPLE QUERY SCHEME
SN - 978-972-8865-74-0
IS - 2184-4321
AU - B. Borba, G.
AU - R. Gamba, H.
AU - M. Mayron, L.
AU - Marques, O.
PY - 2007
SP - 143
EP - 148
DO - 10.5220/0002053301430148
PB - SciTePress

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