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Authors: Dániel Szolgay 1 ; Csaba Benedek 2 and Tamás Szirányi 2

Affiliations: 1 Pázmány Péter Catholic University, Hungary ; 2 Distributed Events Analysis Reseach Group, Computer and Automation Research Institute, Hungary

ISBN: 978-989-8111-21-0

Keyword(s): Template matching, web advertisements, integral image, histogram.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: In this paper an on-line method is proposed for statistical evaluation of dynamic web advertisements via measuring their visit frequencies. To minimize the required user-interaction, the eye movements are tracked by a special eye camera, and the hits on advertisements are automatically recognized. The detection step is mapped to a 2D template matching problem, and novel algorithms are developed to significantly decrease the processing time, via excluding quickly most of the false hit-candidates. We show that due to the improvements the method runs in real time in the context of the selected application. The solution has been validated on real test data and quantitave results have been provided to show the gain in recognition rate and processing time versus previous approaches.

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Paper citation in several formats:
Szolgay D.; Benedek C.; Szirányi T. and (2008). FAST TEMPLATE MATCHING FOR MEASURING VISIT FREQUENCIES OF DYNAMIC WEB ADVERTISEMENTS.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 228-233. DOI: 10.5220/0001080002280233

@conference{visapp08,
author={Dániel Szolgay and Csaba Benedek and Tamás Szirányi},
title={FAST TEMPLATE MATCHING FOR MEASURING VISIT FREQUENCIES OF DYNAMIC WEB ADVERTISEMENTS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={228-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001080002280233},
isbn={978-989-8111-21-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - FAST TEMPLATE MATCHING FOR MEASURING VISIT FREQUENCIES OF DYNAMIC WEB ADVERTISEMENTS
SN - 978-989-8111-21-0
AU - Szolgay, D.
AU - Benedek, C.
AU - Szirányi, T.
PY - 2008
SP - 228
EP - 233
DO - 10.5220/0001080002280233

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