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Authors: Gita Das and Sid Ray

Affiliation: Clayton School of Information Technology, Monash University, Australia

ISBN: 978-972-8865-74-0

Keyword(s): CBIR, feature representation, sample size, dimensionality.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: In this paper, we considered image retrieval as a dichotomous classification problem and studied the effect of sample size and dimensionality on the retrieval accuracy. Finite sample size has always been a problem in Content-Based Image Retrieval (CBIR) system and it is more severe when feature dimension is high. Here, we have discussed feature vectors having different dimensions and their performance with real and synthetic data, with varying sample sizes. We reported experimental results and analysis with two different image databases of size 1000, each with 10 semantic categories.

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Paper citation in several formats:
Das G.; Ray S. and (2007). PERFORMANCE OF A COMPACT FEATURE VECTOR IN CONTENT-BASED IMAGE RETRIEVAL.In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 241-246. DOI: 10.5220/0002046102410246

@conference{visapp07,
author={Gita Das and Sid Ray},
title={PERFORMANCE OF A COMPACT FEATURE VECTOR IN CONTENT-BASED IMAGE RETRIEVAL},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={241-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002046102410246},
isbn={978-972-8865-74-0},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - PERFORMANCE OF A COMPACT FEATURE VECTOR IN CONTENT-BASED IMAGE RETRIEVAL
SN - 978-972-8865-74-0
AU - Das, G.
AU - Ray, S.
PY - 2007
SP - 241
EP - 246
DO - 10.5220/0002046102410246

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