OPTIMAL COMBINATION OF LOW-LEVEL FEATURES FOR SURVEILLANCE OBJECT RETRIEVAL

Virginia Fernandez Arguedas; Krishna Chandramouli; Qianni Zhang; Ebroul Izquierdo

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Paper

OPTIMAL COMBINATION OF LOW-LEVEL FEATURES FOR SURVEILLANCE OBJECT RETRIEVAL

Topics: Semantic Analysis of Multimedia Data

In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 0ICETE, 187-192, 2011 , Seville, Spain

Authors: Virginia Fernandez Arguedas ; Krishna Chandramouli ; Qianni Zhang and Ebroul Izquierdo

Affiliation: Queen Mary and University of London, United Kingdom

Keyword(s): Object retrieval, Multi-feature fusion, Particle swarm optimisation, Surveillance videos, MPEG-7 features, Machine learning.

Related Ontology Subjects/Areas/Topics: Multimedia ; Multimedia Systems and Applications ; Semantic Analysis of Multimedia Data ; Telecommunications

Abstract: In this paper, a low-level multi-feature fusion based classifier is presented for studying the performance of an object retrieval method from surveillance videos. The proposed retrieval framework exploits the recent developments in evolutionary computation algorithm based on biologically inspired optimisation techniques. The multi-descriptor space is formed with a combination of four MPEG-7 visual features. The proposed approach has been evaluated against kernel machines for objects extracted from AVSS 2007 dataset.

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Paper citation in several formats:

Fernandez Arguedas, V., Chandramouli, K., Zhang, Q. and Izquierdo, E. (2011). OPTIMAL COMBINATION OF LOW-LEVEL FEATURES FOR SURVEILLANCE OBJECT RETRIEVAL. In Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2011) - SIGMAP; ISBN 978-989-8425-72-0, SciTePress, pages 187-192. DOI: 10.5220/0003527101870192

@conference{sigmap11,
author={Virginia {Fernandez Arguedas} and Krishna Chandramouli and Qianni Zhang and Ebroul Izquierdo},
title={OPTIMAL COMBINATION OF LOW-LEVEL FEATURES FOR SURVEILLANCE OBJECT RETRIEVAL},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2011) - SIGMAP},
year={2011},
pages={187-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003527101870192},
isbn={978-989-8425-72-0},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2011) - SIGMAP
TI - OPTIMAL COMBINATION OF LOW-LEVEL FEATURES FOR SURVEILLANCE OBJECT RETRIEVAL
SN - 978-989-8425-72-0
AU - Fernandez Arguedas, V.
AU - Chandramouli, K.
AU - Zhang, Q.
AU - Izquierdo, E.
PY - 2011
SP - 187
EP - 192
DO - 10.5220/0003527101870192
PB - SciTePress