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Students will learn the basics in multimedia processing and analysis (feature extraction, feature analysis, pattern discovery, information visualization), which are required to understand and build multimedia information systems. We will first cover the four most important types of multimedia data (text, audio/music, image, video) individually, focusing on particularities of each data source and on aspects of feature extraction and data cleaning. After the first set of lectures, students will have acquired a solid knowledge in state-of-the-art feature extraction techniques. Hereafter, methods to analyze the extracted features will be discussed, in particular, methods of data analysis for pattern discovery and visualization. This will be complemented by a practical project in which students will apply the techniques learned.