Title
Intelligent computational techniques for multimodal data.
Abstract
This guest editorial introduces the special issue on “Intelligent Computational Techniques for Multimodal Data”. The goal of this special issue was to solve a variety of real-life problems which have uncertainty, imprecision, vagueness, resulting in high performance applications or prototypes for real time system. The special issue touched different hot topics related to Computer Vision, Computational Biology, Multimedia data mining, High-dimensional multimedia data, Deep convolution network, Deep semantic preserving hashing, High-dimensional multimedia classification, Deep CNN and extended residual units, particle swarm optimization, Cyberbullying detection on social multimedia, Multimedia detection algorithm of malicious nodes, Multimedia based fast face recognition, Diversifying personalized mobile multimedia application, Multimedia image edge extraction algorithm, Rumour veracity detection.
Year
DOI
Venue
2019
10.1007/s11042-019-07936-z
Multimedia Tools and Applications
Keywords
Field
DocType
Multimedia data mining, Deep convolution network, Deep semantic preserving hashing, Particle swarm optimization, Cyberbullying detection, Mobile multimedia application, Rumour veracity detection
Particle swarm optimization,Computer vision,Facial recognition system,Vagueness,Convolution,Computer science,Real-time operating system,Hash function,Social multimedia,Artificial intelligence,Machine learning,Multimedia data mining
Journal
Volume
Issue
ISSN
78
17
1380-7501
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Shishir Kumar17817.06
Prabhat Mahanti2405.03
Sujing Wang369037.65