Computational intelligence for multimedia and industrial applications

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. This special issue brings 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 articles contained in the present issue include both reviews and basic scientific studies focused on recent advances in computational intelligence for multimedia and industrial applications. This issue comprises the description of multimedia and industrial applications which uses computational intelligence techniques.