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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A Comprehensive Survey on Image Captioning |
| Authors Name: | Shruti Biradar , Vipul Gaikwad , Harsh Pawar , Rohan Dupade , Manjiri Ranjanikar |
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IJNRD_212037
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| Published Paper Id: | IJNRD2403291 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | An image captioning system uses both computer vision and natural language processing modules. While the computer vision module identifies important items or extracts information from images, the Natural Language Processing (NLP) module accurately constructs syntactic and semantic picture captions. Due to its significance in real-world applications like the analysis of enormous amounts of raw photos and the detection of previously unidentified patterns for machine learning applications used to drive self-driving cars and create software that helps the blind, a lot of people have recently developed an interest in the automatic generation of a natural language description or text of an image. It integrates computer vision with natural language processing, two essential components of artificial intelligence. In this study, image captioning will be done using neural networks. ResNet is used as the encoder to retrieve the image data, To create subtitles for videos that use the built-in language, CNN is used as an encoder to retrieve data from the picture and neural convolutional network RNN (Long-Short-Term Memory) as a decoder. |
| Keywords: | Deep learning, Natural Language Processing, Image Captioning, Visual-language, ResNet, LSTM, Recurrent Neural Network, Convolutional Neural Network |
| Cite Article: | "A Comprehensive Survey on Image Captioning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.c757-c765, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403291.pdf |
| Downloads: | 00043 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2403291 Registration ID: 212037 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: c757-c765 Country: Pune, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403291 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403291 |
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