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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Multimodal Age-Group Recognition for Opinion Video Logs using Ensemble of Neural Networks

Author 1: Sadam Al Azani
Author 2: El-Sayed M. El-Alfy

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100445

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 4, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: With the wide spread usage of smartphones and social media platforms, video logging is gaining an increasing popularity, especially after the advent of YouTube in 2005 with hundred millions of views per day. It has attracted interest of many people with immense emerging applications, e.g. filmmak-ers, journalists, product advertisers, entrepreneurs, educators and many others. Nowadays, people express and share their opinions online on various daily issues using different forms of content including texts, audios, images and videos. This study presents a multimodal approach for recognizing the speaker’s age group from social media videos. Several structures of Artificial Neural Networks (ANNs) are presented and evaluated using standalone modalities. Moreover, a two-stage ensemble network is proposed to combine multiple modalities. In addition, a corpus of videos has been collected and prepared for multimodal age-group recog-nition with focus on Arabic language speakers. The experimental results demonstrated that combining different modalities can mitigate the limitations of unimodal recognition systems and lead to significant improvements in the results.

Keywords: Multimodal recognition; opinion mining; age groups; word embedding; acoustic features; visual features; in-formation fusion; ensemble learning; Arabic speakers

Sadam Al Azani and El-Sayed M. El-Alfy, “Multimodal Age-Group Recognition for Opinion Video Logs using Ensemble of Neural Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 10(4), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100445

@article{Azani2019,
title = {Multimodal Age-Group Recognition for Opinion Video Logs using Ensemble of Neural Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100445},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100445},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {4},
author = {Sadam Al Azani and El-Sayed M. El-Alfy}
}


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