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Authors: Jérôme Landré 1 and Frédéric Truchetet 2

Affiliations: 1 CReSTIC, Université de Reims-Champagne-Ardenne, France ; 2 Le2i, Université de Bourgogne, France

Keyword(s): Content-based image retrieval, binary signature, multiresolution analysis.

Abstract: This article proposes a content-based indexing and retrieval (CBIR) system based on query-by-visual-example using hierarchical binary signatures. Binary signatures are obtained through a described binarization process of classical features (color, texture and shape). The Hamming binary distance (based on binary XOR operation) is used for computing distances. This technique was tested on a real natural image collection containing 10 000 images and on a virtual collection of one million images. Results are very good both in terms of speed and accuracy allowing near real-time image retrieval in very large image collections.

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Paper citation in several formats:
Landré, J. and Truchetet, F. (2007). IMAGE RETRIEVAL WITH BINARY HAMMING DISTANCE. In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0; ISSN 2184-4321, pages 237-240. DOI: 10.5220/0002046002370240

@conference{visapp07,
author={Jérôme Landré. and Frédéric Truchetet.},
title={IMAGE RETRIEVAL WITH BINARY HAMMING DISTANCE},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={237-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002046002370240},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - IMAGE RETRIEVAL WITH BINARY HAMMING DISTANCE
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Landré, J.
AU - Truchetet, F.
PY - 2007
SP - 237
EP - 240
DO - 10.5220/0002046002370240