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[CFP] MTAP SI on Recent Advances in Computational Intelligence for Multimedia and Industrial Applications (CIMIA)

From: Fulvio Frati <fulvio.frati@unimi.it>
Date: Thu, 21 Jul 2016 16:07:35 +0200
To: semantic-web@w3.org
Message-id: <022701d1e359$3ae92f10$b0bb8d30$@unimi.it>

[Apologies if you receive multiple copies of this CFP]
Multimedia Tools and Applications
Special issue on
Recent Advances in Computational Intelligence for Multimedia and Industrial
Applications (CIMIA)

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 computational intelligence. The special issue
will bring together researchers on different disciplines from academia and
industry with a common objective: go beyond the frontiers of today
multimedia applications of computational intelligence techniques. 

The technical topics of interest include (but are not limited to)

- Computational intelligence approaches for industrial applications
- Multimedia signal processing using fuzzy and rough sets 
- Virtual-augmented reality for multimedia application
- Digital watermarking using computational intelligence
- Signal compression and analysis using multimedia tools 
- Spatial and temporal estimation and protection of media streams
- Learning systems for signal and information processing and evidential
reasoning for recognition
- Soft computing approaches for embedded multimedia systems
- Expert system for industrial applications 
- Color and illumination using computational intelligence

* Format and preliminary schedule
All submissions will be peer reviewed according to the Multimedia Tools and
Applications guidelines. Submitted articles should not have been published
or be under review elsewhere. Submit your manuscript on
l/11042 and select the "CIMIA: Recent Advances in Computational Intelligence
for Multimedia and Industrial Applications" special issue manuscript type.

* Important Dates
- Submission deadline: August 15, 2016
- First round decision: October 15, 2016
- Revised manuscript due: December 15, 2016
- Final notice of acceptance/reject: February 15, 2017

* Guest editors
- Marco Anisetti, UniversitÓ degli studi di Milano, Italy (email:
- Ernesto Damiani, EBTIC/Khalifa University, UAE (email:
- Gwanggil Jeon, Incheon National University, Korea (email: gjeon@inu.ac.kr)
Received on Thursday, 21 July 2016 14:09:14 UTC

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