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IEEE Access Special Section Editorial: Multimedia Analysis for Internet-of-Things

Authors :
Zhihan Lv
Irfan Mehmood
Mario Vento
Minh-Son Dao
Kaoru Ota
Alessia Saggese
Source :
IEEE Access, Vol 7, Pp 65211-65218 (2019)
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Big data processing includes both data management and data analytics. The data management step requires efficient cleaning, knowledge extraction, and integration and aggregation methods, whereas Internet-of-Multimedia-Things (IoMT) analysis is based on knowledge modeling and interpretation, which is more often performed by exploiting deep learning architectures. In the past couple of years, merging conventional and deep learning methodologies has exhibited great promise in ingesting multimedia big data, exploring the paradigm of transfer learning, association rule mining, and predictive analytics etc.

Details

Language :
English
ISSN :
21693536
Volume :
7
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.0ebf1dcfaa5f4394b79b9ee642b40398
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2019.2915487