Intelligent multimedia data analysis

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This volume features eight chapters focused on the latest findings in intelligent multimedia data analysis. Multimedia data, encompassing various forms such as text, audio, images, videos, and animations, often involves at least one continuous media type. The diversity of these formats leads to uncertainties and imprecision that traditional computing methods struggle to address. Soft computing technologies effectively manage this imprecision and uncertainty, making them suitable for processing real-world information. Analyzing multimedia data has significant applications in areas like medical diagnosis, video surveillance, and text annotation. This work serves as a reference for undergraduate and postgraduate students in computer science, electronics and telecommunication, information science, and electrical engineering. The series aims to provide a comprehensive overview of cutting-edge research in computational intelligence, fostering scholarly discourse on advances in artificial life and machine learning, including metaheuristics, approximate reasoning, and robotics. As the field evolves, particularly with new machine learning algorithms, this series unites leading researchers dedicated to advancing knowledge and understanding of the latest developments in engineering and technology.