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 http://www.springer.com/computer/information+systems+and+applications/journal/11042 and select the “CIMIA: Recent Advances in Computational Intelligence for Multimedia and Industrial Applications” special issue manuscript type.

Guest editors

• Marco Anisetti, Università degli studi di Milano, Italy (email: marco.anisetti@unimi.it)
• Ernesto Damiani, EBTIC/Khalifa University, UAE (email: ernesto.damiani@kustar.ac.ae)
• Gwanggil Jeon, Incheon National University, Korea (email: gjeon@inu.ac.kr)