loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.58.34.132

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Szolgay, D.; Benedek, C. and Szirányi, T. (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 (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={228-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001080002280233},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - FAST TEMPLATE MATCHING FOR MEASURING VISIT FREQUENCIES OF DYNAMIC WEB ADVERTISEMENTS
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Szolgay, D.
AU - Benedek, C.
AU - Szirányi, T.
PY - 2008
SP - 228
EP - 233
DO - 10.5220/0001080002280233
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic