Oppositional Harris Hawks Optimization with Deep Learning-Based Image Captioning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kavitha, V. R. | - |
dc.contributor.author | Nimala, K. | - |
dc.contributor.author | Beno, A. | - |
dc.contributor.author | Ramya, K. C. | - |
dc.contributor.author | Kadry, Seifedine | - |
dc.contributor.author | Kang, Byeong-Gwon | - |
dc.contributor.author | Nam, Yunyoung | - |
dc.date.accessioned | 2022-06-23T04:49:37Z | - |
dc.date.available | 2022-06-23T04:49:37Z | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 0267-6192 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21095 | - |
dc.description.abstract | Image Captioning is an emergent topic of research in the domain of artificial intelligence (AI). It utilizes an integration of Computer Vision (CV) and Natural Language Processing (NLP) for generating the image descriptions. It finds use in several application areas namely recommendation in editing applications, utilization in virtual assistance, etc. The development of NLP and deep learning (DL) models find useful to derive a bridge among the visual details and textual semantics. In this view, this paper introduces an Oppositional Harris Hawks Optimization with Deep Learning based Image Captioning (OHHODLIC) technique. The OHHO-DLIC technique involves the design of distinct levels of pre-processing. Moreover, the feature extraction of the images is carried out by the use of EfficientNet model. Furthermore, the image captioning is performed by bidirectional long short term memory (BiLSTM) model, comprising encoder as well as decoder. At last, the oppositional Harris Hawks optimization (OHHO) based hyperparameter tuning process is performed for effectively adjusting the hyperparameter of the EfficientNet and BiLSTM models. The experimental analysis of the OHHO-DLIC technique is carried out on the Flickr 8k Dataset and a comprehensive comparative analysis highlighted the better performance over the recent approaches. | - |
dc.format.extent | 15 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | C R L Publishing Ltd. | - |
dc.title | Oppositional Harris Hawks Optimization with Deep Learning-Based Image Captioning | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.32604/csse.2023.024553 | - |
dc.identifier.scopusid | 2-s2.0-85131358976 | - |
dc.identifier.wosid | 000810052600011 | - |
dc.identifier.bibliographicCitation | Computer Systems Science and Engineering, v.44, no.1, pp 579 - 593 | - |
dc.citation.title | Computer Systems Science and Engineering | - |
dc.citation.volume | 44 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 579 | - |
dc.citation.endPage | 593 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | FUSION | - |
dc.subject.keywordAuthor | Image captioning | - |
dc.subject.keywordAuthor | natural language processing | - |
dc.subject.keywordAuthor | artificial intelligence | - |
dc.subject.keywordAuthor | machine learning | - |
dc.subject.keywordAuthor | deep learning | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114
COPYRIGHT 2021 by SOONCHUNHYANG UNIVERSITY ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.