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A Novel Hybrid Deep Learning Framework for Image Captioning Using Combined Semantic and Object-Level Features Cover

A Novel Hybrid Deep Learning Framework for Image Captioning Using Combined Semantic and Object-Level Features

Cybernetics and Information Technologies
Volume 25 (2025): Issue 4 (December 2025)
By: Harshil Narendrabhai Chauhan and  Chintan Bhupeshbhai Thacker  
Open Access
|Dec 2025

Authors

Harshil Narendrabhai Chauhan

harshil.chauhan18838@paruluniversity.ac.in

Computer Science and Engineering Department, Parul University, Vadodata, India

Chintan Bhupeshbhai Thacker

chintan.thacker19435@paruluniversity.ac.in

Computer Science and Engineering Department, Parul University, Vadodata, India
DOI: https://doi.org/10.2478/cait-2025-0036 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 116 - 128
Submitted on: Jun 20, 2025
Accepted on: Sep 25, 2025
Published on: Dec 11, 2025
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Image captioning,
Object detection,
Semantic features,
Visual-text generation,
YOLOv8 model
Related subjects:
Computer sciences,
Information technology

© 2025 Harshil Narendrabhai Chauhan, Chintan Bhupeshbhai Thacker, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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