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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: | Enhancing Visual Understanding through Natural Language Descriptions |
| Authors Name: | Mohd Ali , Mujeeburrahman , Modassir Imran , Shefalii Sharma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_209598
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| Published Paper Id: | IJNRD2311350 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| Abstract: | In today's world, pictures and images are everywhere, and we want to make them even more understandable by using words. This research project is about a cool idea called "image captioning." We're trying to make a smart computer system that can look at pictures, understand what's in them, and then write sentences that describe the pictures in a way that people can easily understand. To make this happen, we're using two important things: special computer programs for looking at pictures (they're called Convolutional Neural Networks), and other programs that know how to talk in human-like sentences (like people do). These two parts work together to make the computer describe pictures just like a person would. Our main goal is to create captions for pictures that are both accurate (they say the right things) and sound like something a real person would say. We're not just interested in naming things in the pictures, but also in describing how things are arranged and what's happening. This project is important because it can help us organize pictures better, make them more accessible for people with different needs, and even help us understand art better. We have ways to test how well our computer system is doing by using some special measurements. Also, we're making sure our system can handle all sorts of pictures, no matter how different they are. In short, we're trying to make computers really good at understanding pictures and explaining them in a way that everyone can understand. We believe that by combining the brainpower of computers and people, we can make the world of images and words come together in a more meaningful and interesting way. |
| Keywords: | Convolutional Neural Networks, image captioning |
| Cite Article: | "Enhancing Visual Understanding through Natural Language Descriptions ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d470-d474, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311350.pdf |
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| 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:IJNRD2311350 Registration ID: 209598 Published In: Volume 8 Issue 11, November-2023 DOI (Digital Object Identifier): Page No: d470-d474 Country: Azamgarh, Uttar Pradesh, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311350 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311350 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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