Computational Intelligence in Multimedia Processing: Recent Advances

ISBN-13: 9783642095528 / Angielski / Miękka / 2010 / 536 str.

Aboul-Ella Hassanien; Ajith Abraham; Janusz Kacprzyk

Opis

In recent decades Multimedia processing has emerged as an important technology to generate content based on images, video, audio, graphics, and text. This book is a compilation of the latest trends and developments in the field of computational intelligence in multimedia processing. The edited book presents a large number of interesting applications to intelligent multimedia processing of various Computational Intelligence techniques including neural networks and fuzzy logic.

Spis treści

Foundation.- Computational Intelligence in Multimedia Processing: Foundation and Trends.- Computational Intelligence in Multimedia Networking and Communications: Trends and Future Directions.- Computational Intelligence in 3D Multimedia Virtual Environment and Video Games.- A Synthetic 3D Multimedia Environment.- Robotics and Virtual Reality: A Marriage of Two Diverse Streams of Science.- Modelling Interactive Non-Linear Stories.- A Time Interval String Model for Annotating and Searching Linear Continuous Media.- Computational Intelligence in Image/Audio Processing.- Noise Filtering of New Motion Capture Markers Using Modified K-Means.- Toward Effective Processing of Information Graphics in Multimodal Documents: A Bayesian Network Approach.- Fuzzy Audio Similarity Measures Based on Spectrum Histograms and Fluctuation Patterns.- Fuzzy Techniques for Text Localisation in Images.- Soft-Labeling Image Scheme Using Fuzzy Support Vector Machine.- Temporal Texture Characterization: A Review.- Computational Intelligence in Multimedia Networks and Task Scheduling.- Real Time Tasks Scheduling Using Hybrid Genetic Algorithm.- Computational Intelligence in Visual Sensor Networks: Improving Video Processing Systems.- Scalability and Evaluation of Contextual Immune Model for Web Mining.- Critical Feature Detection in Cockpits – Application of AI in Sensor Networks.- Computational Intelligence in Video Processing.- Anthropocentric Semantic Information Extraction from Movies.- Organizing Multimedia Information with Maps.- Video Authentication Using Relative Correlation Information and SVM.

O autorze

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011). Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.
Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.

Blurb

For the last decades Multimedia processing has emerged as an important technology to generate content based on images, video, audio, graphics, and text. Furthermore, the recent new development represented by High Definition Multimedia content and Interactive television will generate a huge volume of data and important computing problems connected with the creation, processing and management of Multimedia content. "Computational Intelligence in Multimedia Processing: Recent Advances" is a compilation of the latest trends and developments in the field of computational intelligence in multimedia processing. This edited book presents a large number of interesting applications to intelligent multimedia processing of various Computational Intelligence techniques, such as rough sets, Neural Networks; Fuzzy Logic; Evolutionary Computing; Artificial Immune Systems; Swarm Intelligence; Reinforcement Learning and evolutionary computation.