Efficient content based image retrieval based on Semantic Object Detection

Mohamed, A, Khelifi, F, Jiang, J and Ipson, S (2010) Efficient content based image retrieval based on Semantic Object Detection In: ISSPA 2010, 2010-05-10 - 2010-05-13, Kuala Lumpur, Malaysia.

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Abstract

This paper proposes an efficient content-based image retrieval scheme based on Semantic Object Detection (SOD). The feature extraction process uses quantized discrete cosine transform (DCT) blocks where the retrieval of the query image is performed using a histogram-based similarity measure. SOD aims to reduce the size of the database from which the retrieval of similar images is conducted. The use of SOD has been shown to improve the retrieval performance and outperform related work in the literature.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Mohamed, A Khelifi, F Jiang, J jianmin.jiang@surrey.ac.uk Ipson, S
Date :	2010
DOI :	10.1109/ISSPA.2010.5605544
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:25
Last Modified :	23 Jan 2020 17:49
URI:	http://epubs.surrey.ac.uk/id/eprint/835235

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