Multimedia DM is the mining and analysis of various types of data, including images, video, audio, and animation. The idea of mining data that contains different kinds of information is the main objective of multimedia DM (Zaiane, Han, Li, & Hou, 1998). As multimedia DM incorporates the areas of text mining as well as hypertext/hypermedia mining, these fields are closely related. Much of the information describing these other areas also applies to multimedia DM. This field is also rather new, but holds much promise for the future. A developing area in multimedia DM is that of audio DM (mining music). The idea is basically to use audio signals to indicate the patterns of data or to represent the features of DM results. It is possible not only to summarize melodies based on the approximate patterns that repeatedly occur in the segment, but also to summarize style based on tone, tempo, or the major musical instruments played (Han & Kamber, 2001; Zaiane, Han, Li, & Hou, 1998; Zaiane, Han, & Zhu, 2000).
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