This novel, self-contained book introduces the most current, state-of-the-art multimedia data mining concepts and theory. It reviews the theoretical foundations of the subject, including feature extraction and representations, knowledge representations, statistical learning theory, and soft computing theory. Clarifying perplexing topics scattered throughout research papers in the field, the book explores the relationship of multimedia data mining to other related areas, such as artificial intelligence. It also highlights various applications that illustrate how multimedia data mining can solve many real-world problems, such as image annotation, video search, and audio classification.