Computational intelligence for multimedia and industrial applications

Computational intelligence for multimedia and industrial applications Multimed Tools Appl (2017) 76:24589–24593 DOI 10.1007/s11042-017-5154-3 GUEST EDITORIAL Computational intelligence for multimedia and industrial applications 1 2 3 Gwanggil Jeon & Ernesto Damiani & Marco Anisetti Published online: 7 September 2017 Springer Science+Business Media, LLC 2017 Computational intelligence approaches such as neural network, particle swarm optimization, evolutionary algorithm, fuzzy set, and rough sets are adopted in many multimedia and industrial applications, like visual based quality control, image enhancement in consumer electronics, video based recognition of identity or behaviors, audio based speech recognition for enhanced human like interaction with machines etc. Despite this growing diffusion, there are still many possible areas where computational intelligence application is partial or could be extended and improved, due to the actual limitations in terms of computational power or strict requirements in terms of assurance of the results. This special issue aims to investigate the impact of the adoption of advanced and innovative Computational Intelligence techniques in multimedia and industrial applications. Authors are expected to discuss some representative applications to present inspiring models to demonstrate how computational intelligence could be implemented to solve multimedia computing and industrial issues and how these issues could be analyzed, processed, and illustrated by compu- tational intelligence. This special http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Computational intelligence for multimedia and industrial applications

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-017-5154-3
Publisher site
See Article on Publisher Site

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