Content-based emblem retrieval using Zernike moments
The problem of content-based image retrieval is becoming essential in many real-world applications, mostly due to the growth in size of modern image databases. In particular, this work addresses the retrieval of trademark emblems, which is key for detecting trademark infringement. A common approach...
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paper:paper_03029743_v6419LNCS_n_p79_Cura2023-06-08T15:28:38Z Content-based emblem retrieval using Zernike moments Cura, Ezequiel Adrián Tepper, Mariano Hernán Mejail, Marta Estela Comparison metrics Complex moments Content based image retrieval Content-based Execution time Image database Real-world application Shape descriptors Trademark infringement Work Focus Zernike Zernike moments Comparison metrics Complex moments Content based image retrieval Content-based Image database Shape descriptors Trademark infringement Zernike moments Computer vision Commerce Content based retrieval Image retrieval Signal reconstruction Pattern recognition The problem of content-based image retrieval is becoming essential in many real-world applications, mostly due to the growth in size of modern image databases. In particular, this work addresses the retrieval of trademark emblems, which is key for detecting trademark infringement. A common approach that proved suitable for this task, is to encode emblems using shape descriptors and Zernike complex moments. This work focuses on their study, proposing a two-fold contribution. First, we present some modifications to Zernike complex moments and then we explore the use of different comparison metrics. Both have shown to report improvements in retrieved results and in execution time. © 2010 Springer-Verlag. Fil:Cura, E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Tepper, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v6419LNCS_n_p79_Cura http://hdl.handle.net/20.500.12110/paper_03029743_v6419LNCS_n_p79_Cura |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
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R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Comparison metrics Complex moments Content based image retrieval Content-based Execution time Image database Real-world application Shape descriptors Trademark infringement Work Focus Zernike Zernike moments Comparison metrics Complex moments Content based image retrieval Content-based Image database Shape descriptors Trademark infringement Zernike moments Computer vision Commerce Content based retrieval Image retrieval Signal reconstruction Pattern recognition |
spellingShingle |
Comparison metrics Complex moments Content based image retrieval Content-based Execution time Image database Real-world application Shape descriptors Trademark infringement Work Focus Zernike Zernike moments Comparison metrics Complex moments Content based image retrieval Content-based Image database Shape descriptors Trademark infringement Zernike moments Computer vision Commerce Content based retrieval Image retrieval Signal reconstruction Pattern recognition Cura, Ezequiel Adrián Tepper, Mariano Hernán Mejail, Marta Estela Content-based emblem retrieval using Zernike moments |
topic_facet |
Comparison metrics Complex moments Content based image retrieval Content-based Execution time Image database Real-world application Shape descriptors Trademark infringement Work Focus Zernike Zernike moments Comparison metrics Complex moments Content based image retrieval Content-based Image database Shape descriptors Trademark infringement Zernike moments Computer vision Commerce Content based retrieval Image retrieval Signal reconstruction Pattern recognition |
description |
The problem of content-based image retrieval is becoming essential in many real-world applications, mostly due to the growth in size of modern image databases. In particular, this work addresses the retrieval of trademark emblems, which is key for detecting trademark infringement. A common approach that proved suitable for this task, is to encode emblems using shape descriptors and Zernike complex moments. This work focuses on their study, proposing a two-fold contribution. First, we present some modifications to Zernike complex moments and then we explore the use of different comparison metrics. Both have shown to report improvements in retrieved results and in execution time. © 2010 Springer-Verlag. |
author |
Cura, Ezequiel Adrián Tepper, Mariano Hernán Mejail, Marta Estela |
author_facet |
Cura, Ezequiel Adrián Tepper, Mariano Hernán Mejail, Marta Estela |
author_sort |
Cura, Ezequiel Adrián |
title |
Content-based emblem retrieval using Zernike moments |
title_short |
Content-based emblem retrieval using Zernike moments |
title_full |
Content-based emblem retrieval using Zernike moments |
title_fullStr |
Content-based emblem retrieval using Zernike moments |
title_full_unstemmed |
Content-based emblem retrieval using Zernike moments |
title_sort |
content-based emblem retrieval using zernike moments |
publishDate |
2010 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v6419LNCS_n_p79_Cura http://hdl.handle.net/20.500.12110/paper_03029743_v6419LNCS_n_p79_Cura |
work_keys_str_mv |
AT curaezequieladrian contentbasedemblemretrievalusingzernikemoments AT teppermarianohernan contentbasedemblemretrievalusingzernikemoments AT mejailmartaestela contentbasedemblemretrievalusingzernikemoments |
_version_ |
1768543945292251136 |