TY - GEN
T1 - Audio-visual video classification system design
T2 - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
AU - Dandashi, Amal
AU - Aljaam, Jihad
AU - Foufou, Sebti
N1 - Funding Information:
This publication was made possible by GSRA grant # 1-1-1202-13026 from the Qatar National Research Fund (a member of Qatar Foundation).
Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/3/17
Y1 - 2017/3/17
N2 - 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.
AB - 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.
KW - Multimodal video classification
KW - audio feature extraction
KW - named entity recognition
KW - news videos
KW - visual features
UR - http://www.scopus.com/inward/record.url?scp=85017285928&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017285928&partnerID=8YFLogxK
U2 - 10.1109/CSCI.2016.0145
DO - 10.1109/CSCI.2016.0145
M3 - Conference contribution
AN - SCOPUS:85017285928
T3 - Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
SP - 745
EP - 751
BT - Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
A2 - Yang, Mary
A2 - Arabnia, Hamid R.
A2 - Deligiannidis, Leonidas
A2 - Deligiannidis, Leonidas
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 December 2016 through 17 December 2016
ER -