Exploring deep learning approaches for video captioning: A comprehensive review-Reference-Cited by-同舟云学术

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Exploring deep learning approaches for video captioning: A comprehensive review

Published:2023-12 Issue: Volume:6 Page:100372
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Yousif Adel Jalal^ORCID,Al-Jammas Mohammed H.^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Engineering,Energy Engineering and Power Technology

Reference164 articles.

1. Encoder-decoder model for automatic video captioning using YOLO algorithm;Alkalouti,2021

2. Multi-sentence video captioning using content-oriented beam searching and multi-stage refining algorithm;Nabati;Inf. Process. Manag.,2020

3. Video captioning with temporal and region graph convolution network;Xiao,2020

4. Object detection using YOLO: a survey;Tripathi,2022

5. Robust face recognition algorithm with a minimum datasets;Safi;Diyala J. Eng. Sci.,2021

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1. TransEffiVisNet – an image captioning architecture for auditory assistance for the visually impaired;Multimedia Tools and Applications;2024-08-23

2. Custom CNN-BiLSTM model for video captioning;Multimedia Tools and Applications;2024-07-03

3. Real-time Arabic Video Captioning Using CNN and Transformer Networks Based on Parallel Implementation;Diyala Journal of Engineering Sciences;2024-03-07

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