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Authors: Tomás Mardones 1 ; Héctor Allende 1 and Claudio Moraga 2

Affiliations: 1 Universidad Técnica Federico Santa María, Chile ; 2 European Centre for Soft Computing, Spain

ISBN: 978-989-758-077-2

Keyword(s): Fisher Vector, Image Retrieval, Feature Sampling Methods, Query by example.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Data Engineering ; Image Understanding ; Information Retrieval ; Object Recognition ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering

Abstract: This paper addresses the problem of content-based image retrieval in a large-scale setting. Most works in the area sample image patches using an affine invariant detector or in a dense fashion, but we show that both sampling methods are complementary. By using Fisher Vectors we show how several sampling methods can be combined in a simple fashion inquiring only in a small fixed computational cost while significantly increasing the precision of the image retrieval system. As a second contribution, we show Fisher Vectors using their variance component, normally ignored in image retrieval applications, have better performance than their mean component under certain relevant settings. Experiments with up to 1 million images indicate that the proposed method remains valid in large-scale image search.

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Paper citation in several formats:
Mardones, T.; Allende, H. and Moraga, C. (2015). Combining Fisher Vectors in Image Retrieval Using Different Sampling Techniques.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 128-135. DOI: 10.5220/0005179201280135

@conference{icpram15,
author={Tomás Mardones. and Héctor Allende. and Claudio Moraga.},
title={Combining Fisher Vectors in Image Retrieval Using Different Sampling Techniques},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005179201280135},
isbn={978-989-758-077-2},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Combining Fisher Vectors in Image Retrieval Using Different Sampling Techniques
SN - 978-989-758-077-2
AU - Mardones, T.
AU - Allende, H.
AU - Moraga, C.
PY - 2015
SP - 128
EP - 135
DO - 10.5220/0005179201280135

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