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

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

Abstract 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...

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Bibliographic Details
Main Authors: Md Mijanur Rahman, Ashik Uzzaman, Sadia Islam Sami, Fatema Khatun, Md Al‐Amin Bhuiyan
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Image Processing
Subjects:
CNN Encoder
Deep Learning
Image Captioning
Image Feature Extractor
LSTM Decoder
Pre‐trained VGG‐19 Model
Online Access:https://doi.org/10.1049/ipr2.13287
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https://doi.org/10.1049/ipr2.13287

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