Image Captioning in News Report Scenario Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.54097/m3m0hv16
Image captioning[1] strives to generate pertinent captions for specified images[56], situating itself at the crossroads of Computer Vision (CV) [2] and Natural Language Processing (NLP)[54]. This endeavor is of paramount importance with far-reaching applications in recommendation systems, news outlets, social media, and beyond. Particularly within the realm of news reporting, captions are expected to encompass detailed information, such as the identities of celebrities captured in the images. However, much of the existing body of work primarily centers around understanding scenes and actions.[3] In this paper, we explore the realm of image captioning specifically tailored for celebrity photographs, illustrating its broad potential for enhancing news industry practices. This exploration aims to augment automated news content generation, thereby facilitating a more nuanced dissemination of information.[57] Our endeavor shows a broader horizon, enriching the narrative in news reporting through a more intuitive image captioning framework.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.54097/m3m0hv16
- https://drpress.org/ojs/index.php/ajst/article/download/19203/18765
- OA Status
- diamond
- Cited By
- 9
- References
- 67
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395957315
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4395957315Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.54097/m3m0hv16Digital Object Identifier
- Title
-
Image Captioning in News Report ScenarioWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-26Full publication date if available
- Authors
-
Tianrui Liu, Qi Cai, Changxin Xu, Bo Hong, Jize Xiong, Yuxin Qiao, Tsungwei YangList of authors in order
- Landing page
-
https://doi.org/10.54097/m3m0hv16Publisher landing page
- PDF URL
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https://drpress.org/ojs/index.php/ajst/article/download/19203/18765Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://drpress.org/ojs/index.php/ajst/article/download/19203/18765Direct OA link when available
- Concepts
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Closed captioning, Image (mathematics), Computer science, Artificial intelligence, Multimedia, Computer graphics (images), Natural language processing, Computer visionTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 6Per-year citation counts (last 5 years)
- References (count)
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67Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.In | 82 |
| abstract_inverted_index.as | 58 |
| abstract_inverted_index.at | 12 |
| abstract_inverted_index.in | 34, 64, 132 |
| abstract_inverted_index.is | 27 |
| abstract_inverted_index.of | 15, 28, 47, 61, 69, 73, 89, 121 |
| abstract_inverted_index.to | 3, 53, 109 |
| abstract_inverted_index.we | 85 |
| abstract_inverted_index.Our | 123 |
| abstract_inverted_index.[2] | 19 |
| abstract_inverted_index.and | 20, 41, 80 |
| abstract_inverted_index.are | 51 |
| abstract_inverted_index.for | 7, 94, 101 |
| abstract_inverted_index.its | 98 |
| abstract_inverted_index.the | 13, 45, 59, 65, 70, 87, 130 |
| abstract_inverted_index.(CV) | 18 |
| abstract_inverted_index.This | 25, 106 |
| abstract_inverted_index.aims | 108 |
| abstract_inverted_index.body | 72 |
| abstract_inverted_index.more | 118, 137 |
| abstract_inverted_index.much | 68 |
| abstract_inverted_index.news | 37, 48, 103, 112, 133 |
| abstract_inverted_index.such | 57 |
| abstract_inverted_index.this | 83 |
| abstract_inverted_index.with | 31 |
| abstract_inverted_index.work | 74 |
| abstract_inverted_index.Image | 0 |
| abstract_inverted_index.broad | 99 |
| abstract_inverted_index.image | 90, 139 |
| abstract_inverted_index.realm | 46, 88 |
| abstract_inverted_index.shows | 125 |
| abstract_inverted_index.Vision | 17 |
| abstract_inverted_index.around | 77 |
| abstract_inverted_index.itself | 11 |
| abstract_inverted_index.media, | 40 |
| abstract_inverted_index.paper, | 84 |
| abstract_inverted_index.scenes | 79 |
| abstract_inverted_index.social | 39 |
| abstract_inverted_index.within | 44 |
| abstract_inverted_index.Natural | 21 |
| abstract_inverted_index.augment | 110 |
| abstract_inverted_index.beyond. | 42 |
| abstract_inverted_index.broader | 127 |
| abstract_inverted_index.centers | 76 |
| abstract_inverted_index.content | 113 |
| abstract_inverted_index.explore | 86 |
| abstract_inverted_index.images. | 66 |
| abstract_inverted_index.nuanced | 119 |
| abstract_inverted_index.strives | 2 |
| abstract_inverted_index.thereby | 115 |
| abstract_inverted_index.through | 135 |
| abstract_inverted_index.Computer | 16 |
| abstract_inverted_index.However, | 67 |
| abstract_inverted_index.Language | 22 |
| abstract_inverted_index.captions | 6, 50 |
| abstract_inverted_index.captured | 63 |
| abstract_inverted_index.detailed | 55 |
| abstract_inverted_index.endeavor | 26, 124 |
| abstract_inverted_index.existing | 71 |
| abstract_inverted_index.expected | 52 |
| abstract_inverted_index.generate | 4 |
| abstract_inverted_index.horizon, | 128 |
| abstract_inverted_index.industry | 104 |
| abstract_inverted_index.outlets, | 38 |
| abstract_inverted_index.systems, | 36 |
| abstract_inverted_index.tailored | 93 |
| abstract_inverted_index.automated | 111 |
| abstract_inverted_index.celebrity | 95 |
| abstract_inverted_index.encompass | 54 |
| abstract_inverted_index.enhancing | 102 |
| abstract_inverted_index.enriching | 129 |
| abstract_inverted_index.intuitive | 138 |
| abstract_inverted_index.narrative | 131 |
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| abstract_inverted_index.pertinent | 5 |
| abstract_inverted_index.potential | 100 |
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| abstract_inverted_index.reporting | 134 |
| abstract_inverted_index.situating | 10 |
| abstract_inverted_index.specified | 8 |
| abstract_inverted_index.(NLP)[54]. | 24 |
| abstract_inverted_index.Processing | 23 |
| abstract_inverted_index.captioning | 91, 140 |
| abstract_inverted_index.crossroads | 14 |
| abstract_inverted_index.framework. | 141 |
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| abstract_inverted_index.importance | 30 |
| abstract_inverted_index.practices. | 105 |
| abstract_inverted_index.reporting, | 49 |
| abstract_inverted_index.actions.[3] | 81 |
| abstract_inverted_index.celebrities | 62 |
| abstract_inverted_index.exploration | 107 |
| abstract_inverted_index.generation, | 114 |
| abstract_inverted_index.images[56], | 9 |
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| abstract_inverted_index.photographs, | 96 |
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| abstract_inverted_index.understanding | 78 |
| abstract_inverted_index.recommendation | 35 |
| abstract_inverted_index.information.[57] | 122 |
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| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5102949546 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I36258959 |
| citation_normalized_percentile.value | 0.92524368 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |