Staff View: A new U-Net based system for multi-cultural wedding image classification

A new U-Net based system for multi-cultural wedding image classification

Use of social media for communication, sharing or expressing views, broadcasting news, threatening and blackmailing has become an integral part of society. One such activity is understanding multi-cultural wedding images uploaded on social media. This paper presents a novel method based on the combi...

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Main Authors:	Shivakumara, Palaiahnakote, Pavan Kumar, C., Nemade, Jagrut J., Michael, Kshitiz, Kumar, Akash, Anami, Basavaraj S., Pal, Umapada
Format:	Article
Published:	Elsevier 2024
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.um.edu.my/44869/ https://doi.org/10.1016/j.eswa.2023.121562
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id	my.um.eprints.44869
record_format	eprints
spelling	my.um.eprints.448692024-11-15T09:00:06Z http://eprints.um.edu.my/44869/ A new U-Net based system for multi-cultural wedding image classification Shivakumara, Palaiahnakote Pavan Kumar, C. Nemade, Jagrut J. Michael, Kshitiz Kumar, Akash Anami, Basavaraj S. Pal, Umapada QA75 Electronic computers. Computer science Use of social media for communication, sharing or expressing views, broadcasting news, threatening and blackmailing has become an integral part of society. One such activity is understanding multi-cultural wedding images uploaded on social media. This paper presents a novel method based on the combination of U-Net, Convolutional Neural Network and Random Forest for classification of multicultural wedding images. In the case of wedding images, bride and bridegroom draw the attention of the viewers. This observation led to propose a U-Net for segmenting the region of bride and bridegroom in a novel way. Similarly, it is noted that the costumes of bride and bridegroom are vital information for differentiating different cultures. This cue motivated us to extract features using CNN for classification. Since the extracted features using CNN are capable of discriminating images of different classes, we propose a simple and effective Random-Forest for Multicultural Wedding Image Classification. The efficiency of the proposed model is demonstrated by testing it on our own dataset of six multi-cultural wedding classes and standard dataset of wedding and non-wedding images classes. Experimental results on both the datasets show that the proposed model outperforms the state-of-the-art models in terms of average classification rate. © 2023 Elsevier Ltd Elsevier 2024 Article PeerReviewed Shivakumara, Palaiahnakote and Pavan Kumar, C. and Nemade, Jagrut J. and Michael, Kshitiz and Kumar, Akash and Anami, Basavaraj S. and Pal, Umapada (2024) A new U-Net based system for multi-cultural wedding image classification. Expert Systems with Applications, 237. p. 121562. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2023.121562 <https://doi.org/10.1016/j.eswa.2023.121562>. https://doi.org/10.1016/j.eswa.2023.121562 10.1016/j.eswa.2023.121562
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Shivakumara, Palaiahnakote Pavan Kumar, C. Nemade, Jagrut J. Michael, Kshitiz Kumar, Akash Anami, Basavaraj S. Pal, Umapada A new U-Net based system for multi-cultural wedding image classification
description	Use of social media for communication, sharing or expressing views, broadcasting news, threatening and blackmailing has become an integral part of society. One such activity is understanding multi-cultural wedding images uploaded on social media. This paper presents a novel method based on the combination of U-Net, Convolutional Neural Network and Random Forest for classification of multicultural wedding images. In the case of wedding images, bride and bridegroom draw the attention of the viewers. This observation led to propose a U-Net for segmenting the region of bride and bridegroom in a novel way. Similarly, it is noted that the costumes of bride and bridegroom are vital information for differentiating different cultures. This cue motivated us to extract features using CNN for classification. Since the extracted features using CNN are capable of discriminating images of different classes, we propose a simple and effective Random-Forest for Multicultural Wedding Image Classification. The efficiency of the proposed model is demonstrated by testing it on our own dataset of six multi-cultural wedding classes and standard dataset of wedding and non-wedding images classes. Experimental results on both the datasets show that the proposed model outperforms the state-of-the-art models in terms of average classification rate. © 2023 Elsevier Ltd
format	Article
author	Shivakumara, Palaiahnakote Pavan Kumar, C. Nemade, Jagrut J. Michael, Kshitiz Kumar, Akash Anami, Basavaraj S. Pal, Umapada
author_facet	Shivakumara, Palaiahnakote Pavan Kumar, C. Nemade, Jagrut J. Michael, Kshitiz Kumar, Akash Anami, Basavaraj S. Pal, Umapada
author_sort	Shivakumara, Palaiahnakote
title	A new U-Net based system for multi-cultural wedding image classification
title_short	A new U-Net based system for multi-cultural wedding image classification
title_full	A new U-Net based system for multi-cultural wedding image classification
title_fullStr	A new U-Net based system for multi-cultural wedding image classification
title_full_unstemmed	A new U-Net based system for multi-cultural wedding image classification
title_sort	new u-net based system for multi-cultural wedding image classification
publisher	Elsevier
publishDate	2024
url	http://eprints.um.edu.my/44869/ https://doi.org/10.1016/j.eswa.2023.121562
_version_	1817841969601183744
score	13.223943

A new U-Net based system for multi-cultural wedding image classification

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