JOURNAL ARTICLE

Automated Image Captioning with Deep Learning

Sameer IndoraAniruddh KumarK. Sandeep

Year: 2023 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 11 (11)Pages: 2073-2080   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

Abstract: In recent years, deep learning has transformed computer vision, giving rise to automated image captioning systems bridging the gap between visual content and natural language. This paper presents an innovative approach to automated image captioning, combining deep learning models and methodologies. Our system employsConvolutional Neural Networks (CNNs) for robust image feature extraction and Recurrent Neural Networks (RNNs), specifically Long Short-Term Memory (LSTM) networks, for generating coherent captions. It is trained on diverse image-caption datasets, learning intricate associations between visual content and textual descriptions.

Keywords:
Closed captioning Computer science Artificial intelligence Deep learning Recurrent neural network Bridging (networking) Feature extraction Long short term memory Feature (linguistics) Image (mathematics) Natural language Natural language processing Visualization Artificial neural network Pattern recognition (psychology)

Metrics

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Cited By
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FWCI (Field Weighted Citation Impact)
21
Refs
0.16
Citation Normalized Percentile
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Topics

Multimodal Machine Learning Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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