A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems

This study introduces a novel encoder–decoder framework based on deep neural networks and provides a thorough investigation into the field of automatic picture captioning systems. The suggested model uses a “long short‐term memory” decoder for word prediction and sentence construction, and a “convol...

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Bibliographic Details

Published in:	IET image processing Vol. 18; no. 14; pp. 4778 - 4798
Main Authors:	Rahman, Md Mijanur, Uzzaman, Ashik, Sami, Sadia Islam, Khatun, Fatema, Bhuiyan, Md Al‐Amin
Format:	Journal Article
Language:	English
Published:	Wiley 01.12.2024
Subjects:	CNN Encoder Deep Learning Image Captioning Image Feature Extractor LSTM Decoder Pre‐trained VGG‐19 Model
ISSN:	1751-9659, 1751-9667
Online Access:	Get full text
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