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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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Volume 9 | Issue 5
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| Paper Title: | IMAGE CAPTION GENERATOR WITH CNN AND RNN |
| Authors Name: | N.Anithaa , P.Venkata Dusyanth , R.Bharath Sai Kumar , R.Dasharadha , R.Rajesh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_216444
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| Published Paper Id: | IJNRD2403518 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | The project aims to develop an advanced Image Caption Generator using deep learning techniques and computer vision algorithms. In an era of increasing visual content on the internet, the ability to automatically generate descriptive captions for images has become crucial for enhancing accessibility and user experience. This project leverages state-of-the-art deep neural networks, specifically Convolutional Neural Networks (CNNs) for image feature extraction and Recurrent Neural Networks (RNNs) for generating coherent and contextually relevant captions. The system takes an image as input and employs a pre-trained CNN to extract high-level features, creating a rich representation of the visual content. Subsequently, an RNN-based sequence-to-sequence model processes these features to generate natural language captions. To improve the quality and fluency of captions, the model incorporates attention mechanisms, allowing it to focus on different parts of the image while generating each word. The outcome of this project has broad applications in fields such as image indexing, content retrieval, and accessibility, making digital visual content more understandable and engaging for a wide range of users. Additionally, the project contributes to the advancement of deep learning techniques in computer vision and natural language processing, pushing the boundaries of Al capabilities in understanding and describing visual information. |
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| Cite Article: | "IMAGE CAPTION GENERATOR WITH CNN AND RNN", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f135-f167, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403518.pdf |
| Downloads: | 00041 |
| 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:IJNRD2403518 Registration ID: 216444 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: f135-f167 Country: Chennai, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403518 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403518 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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