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
EditorsMary Yang, Hamid R. Arabnia, Leonidas Deligiannidis, Leonidas Deligiannidis
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

Publication series

NameProceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016

Other

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

Keywords

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

ASJC Scopus subject areas

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

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  • Cite this

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