Audio-visual video classification system design: For Arabic News domain

Amal Dandashi, Jihad Aljaam, Sebti Foufou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There are many research initiatives tackling automated multimodal video classification, however very few of them are targeted towards classifying Arabic news-related videos. In light of the vast proliferation of raw digital Arabic data, specifically videos, over the internet, uncategorized and unused, we propose a new system to tackle this problem. The proposed system design consists of visual features extraction and classification, combined with audio-based event classification, as well semantic-content processing. Results are to be combined and documented using multimedia classification fusion techniques. We also propose to develop a new Arabic dataset based on news channel videos as well as raw videos from various online sources for testing and evaluation.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages745-751
Number of pages7
ISBN (Electronic)9781509055104
DOIs
StatePublished - Mar 17 2017
Event2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 - Las Vegas, United States
Duration: Dec 15 2016Dec 17 2016

Other

Other2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
CountryUnited States
CityLas Vegas
Period12/15/1612/17/16

Fingerprint

Systems analysis
Multimedia
Semantics
Internet
Feature extraction
Fusion reactions
Testing
Processing
Research

Keywords

  • audio feature extraction
  • Multimodal video classification
  • named entity recognition
  • news videos
  • visual features

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Dandashi, A., Aljaam, J., & Foufou, S. (2017). Audio-visual video classification system design: For Arabic News domain. In Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 (pp. 745-751). [7881438] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2016.0145

Audio-visual video classification system design : For Arabic News domain. / Dandashi, Amal; Aljaam, Jihad; Foufou, Sebti.

Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 745-751 7881438.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dandashi, A, Aljaam, J & Foufou, S 2017, Audio-visual video classification system design: For Arabic News domain. in Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016., 7881438, Institute of Electrical and Electronics Engineers Inc., pp. 745-751, 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, Las Vegas, United States, 12/15/16. https://doi.org/10.1109/CSCI.2016.0145
Dandashi A, Aljaam J, Foufou S. Audio-visual video classification system design: For Arabic News domain. In Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 745-751. 7881438 https://doi.org/10.1109/CSCI.2016.0145
Dandashi, Amal ; Aljaam, Jihad ; Foufou, Sebti. / Audio-visual video classification system design : For Arabic News domain. Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 745-751
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