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Computational Intelligence in Multimedia Processing: Foundation and Trends

  • Aboul-Ella Hassanien
  • Ajith Abraham
  • Janusz Kacprzyk
  • James F. Peters
Part of the Studies in Computational Intelligence book series (SCI, volume 96)

This chapter presents a broad overview of Computational Intelligence (CI) techniques including Neural Network (NN), Particle Swarm Optimization (PSO), Evolutionary Algorithm (GA), Fuzzy Set (FS), and Rough Sets (RS). In addition, a very brief introduction to near sets and near images which offer a generalization of traditional rough set theory and a new approach to classifying perceptual objects by means of features in solving multimedia problems is presented. A review of the current literature on CI based approaches to various problems in multimedia computing such as speech, audio and image processing, video watermarking, content-based multimedia indexing and retrieval are presented. We discuss some representative methods to provide inspiring examples to illustrate how CI could be applied to resolve multimedia computing problems and how multimedia could be analyzed, processed, and characterized by computational intelligence. Challenges to be addressed and future directions of research are also presented.

Keywords

Automatic Speech Recognition Watermark Scheme Speech Recognition System Adaptive Resonance Theory Audio Watermark 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Aboul-Ella Hassanien
    • 1
    • 2
  • Ajith Abraham
    • Janusz Kacprzyk
      • James F. Peters
        • 3
      1. 1.Information Technology Department, FCICairo UniversityOrmanEgypt
      2. 2.Information System Department, CBAKuwait UniversityKuwait
      3. 3.Department of Electrical and Computer EngineeringUniversity of ManitobaWinnipegCanada

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