Automatic Punjabi Caption Generation For Sports Images
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | INFOCOMP: Jornal de Ciência da Computação |
Texto Completo: | https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1180 |
Resumo: | Image understanding and language generation have always been a difficult task in the field of Artificial Intelligence. Automatic Image Caption Generation is concerned with the task of understanding the image and generating a caption for it. In this paper, we represented our research work that uses the Deep Learning technique to create Punjabi captions for a given image and its associated news document. High-level features of the images are extracted using the pre-trained VGG-19 (Visual Geometry Group) model. These image features are merged with features of news text which are extracted using LSTM (Long Short Term Memory). The proposed model augments keywords from associated news text to generate suitable captions. Using both BLEU scores and human evaluations, we show that the proposed method is successful in generating intelligible and suitable captions. |
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INFOCOMP: Jornal de Ciência da Computação |
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Automatic Punjabi Caption Generation For Sports ImagesImage understanding and language generation have always been a difficult task in the field of Artificial Intelligence. Automatic Image Caption Generation is concerned with the task of understanding the image and generating a caption for it. In this paper, we represented our research work that uses the Deep Learning technique to create Punjabi captions for a given image and its associated news document. High-level features of the images are extracted using the pre-trained VGG-19 (Visual Geometry Group) model. These image features are merged with features of news text which are extracted using LSTM (Long Short Term Memory). The proposed model augments keywords from associated news text to generate suitable captions. Using both BLEU scores and human evaluations, we show that the proposed method is successful in generating intelligible and suitable captions.Editora da UFLA2021-06-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1180INFOCOMP Journal of Computer Science; Vol. 20 No. 1 (2021): June 20211982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1180/564Copyright (c) 2021 Manleen Kaur, Gurpreet Josan, Jagroop Kaurinfo:eu-repo/semantics/openAccessKaur, ManleenJosan, GurpreetKaur, Jagroop2021-06-04T11:27:56Zoai:infocomp.dcc.ufla.br:article/1180Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:46.300852INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Automatic Punjabi Caption Generation For Sports Images |
title |
Automatic Punjabi Caption Generation For Sports Images |
spellingShingle |
Automatic Punjabi Caption Generation For Sports Images Kaur, Manleen |
title_short |
Automatic Punjabi Caption Generation For Sports Images |
title_full |
Automatic Punjabi Caption Generation For Sports Images |
title_fullStr |
Automatic Punjabi Caption Generation For Sports Images |
title_full_unstemmed |
Automatic Punjabi Caption Generation For Sports Images |
title_sort |
Automatic Punjabi Caption Generation For Sports Images |
author |
Kaur, Manleen |
author_facet |
Kaur, Manleen Josan, Gurpreet Kaur, Jagroop |
author_role |
author |
author2 |
Josan, Gurpreet Kaur, Jagroop |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Kaur, Manleen Josan, Gurpreet Kaur, Jagroop |
description |
Image understanding and language generation have always been a difficult task in the field of Artificial Intelligence. Automatic Image Caption Generation is concerned with the task of understanding the image and generating a caption for it. In this paper, we represented our research work that uses the Deep Learning technique to create Punjabi captions for a given image and its associated news document. High-level features of the images are extracted using the pre-trained VGG-19 (Visual Geometry Group) model. These image features are merged with features of news text which are extracted using LSTM (Long Short Term Memory). The proposed model augments keywords from associated news text to generate suitable captions. Using both BLEU scores and human evaluations, we show that the proposed method is successful in generating intelligible and suitable captions. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-04 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1180 |
url |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1180 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1180/564 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Manleen Kaur, Gurpreet Josan, Jagroop Kaur info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Manleen Kaur, Gurpreet Josan, Jagroop Kaur |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
INFOCOMP Journal of Computer Science; Vol. 20 No. 1 (2021): June 2021 1982-3363 1807-4545 reponame:INFOCOMP: Jornal de Ciência da Computação instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
INFOCOMP: Jornal de Ciência da Computação |
collection |
INFOCOMP: Jornal de Ciência da Computação |
repository.name.fl_str_mv |
INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
infocomp@dcc.ufla.br||apfreire@dcc.ufla.br |
_version_ |
1799874742649356288 |