Natural language description of images using hybrid recurrent neural network Article Swipe

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Md. Asifuzzaman Jishan , Khan Raqib Mahmud , Abul Kalam Al Azad ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.11591/ijece.v9i4.pp2932-2940

We presented a learning model that generated natural language description of images. The model utilized the connections between natural language and visual data by produced text line based contents from a given image. Our Hybrid Recurrent Neural Network model is based on the intricacies of Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Bi-directional Recurrent Neural Network (BRNN) models. We conducted experiments on three benchmark datasets, e.g., Flickr8K, Flickr30K, and MS COCO. Our hybrid model utilized LSTM model to encode text line or sentences independent of the object location and BRNN for word representation, this reduced the computational complexities without compromising the accuracy of the descriptor. The model produced better accuracy in retrieving natural language based description on the dataset.

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Computer Science

Recurrent Neural Network

Artificial Intelligence

Benchmark (Surveying)

Convolutional Neural Network

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Computer science Recurrent neural network Artificial intelligence Benchmark (surveying) Convolutional neural network Natural language Natural language processing Line (geometry) Word (group theory) Representation (politics) Artificial neural network Pattern recognition (psychology) Object (grammar) Language model Political science Politics Geodesy Mathematics Geography Philosophy Law Geometry Linguistics

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Type: article
Language: en
Landing Page: https://doi.org/10.11591/ijece.v9i4.pp2932-2940
PDF: http://ijece.iaescore.com/index.php/IJECE/article/download/15743/13126
OA Status: diamond
Cited By: 11
References: 52
Related Works: 10
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DOI: https://doi.org/10.11591/ijece.v9i4.pp2932-2940

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Title: Natural language description of images using hybrid recurrent neural network

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Type: article

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Language: en

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Publication year: 2019

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Publication date: 2019-08-01

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Authors: Md. Asifuzzaman Jishan, Khan Raqib Mahmud, Abul Kalam Al Azad

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Landing page: https://doi.org/10.11591/ijece.v9i4.pp2932-2940

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Concepts: Computer science, Recurrent neural network, Artificial intelligence, Benchmark (surveying), Convolutional neural network, Natural language, Natural language processing, Line (geometry), Word (group theory), Representation (politics), Artificial neural network, Pattern recognition (psychology), Object (grammar), Language model, Political science, Politics, Geodesy, Mathematics, Geography, Philosophy, Law, Geometry, Linguistics

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Cited by: 11

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Citations by year (recent): 2025: 1, 2024: 1, 2022: 2, 2021: 4, 2020: 3

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