Multimedia services in intelligent environments

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Multimedia services encompass the processing, transmission, and retrieval of various information forms, gaining traction due to increased computing power and storage availability. Society increasingly demands human-like intelligent behavior from machines, prompting researchers to integrate intelligent paradigms like artificial neural networks, swarm intelligence, artificial immune systems, evolutionary computing, and multi-agent systems with multimedia services. Artificial neural networks utilize interconnected neurons for learning in multimedia systems, while evolutionary computing techniques assist in optimization tasks. Multi-agent systems typically follow the Belief-Desire-Intention model, acting on behalf of users. Examples of intelligent multimedia services include digital libraries, e-learning, e-government, e-commerce, e-entertainment, e-health, and e-legal services. This volume features 15 chapters focused on advanced tools and methodologies related to multimedia services, with significant contributions from authors and reviewers. It aims to serve as a valuable resource for professors, researchers, and students across various disciplines, including computer science, engineering, and management. Special thanks are extended to Springer-Verlag for their exceptional editorial support.