ABSTRACT
Recently, there has been much interest in mining multimedia databases such as text, images, and video databases. As mentioned, many of the data mining tools work on relational databases. However, a considerable amount of data is now in multimedia format. There is a lot of text and image data on the Web, and news services provide a lot of video and audio data. This data has to be mined so that useful information can be extracted. One solution is to extract structured data from the multimedia databases and then mine the structured data using traditional data mining tools. Another solution is to develop mining tools to operate on the multimedia data directly. Technologies and techniques for multimedia data mining are the subject of this chapter. In particular, this chapter provides a general overview of multimedia data mining. Mining individual data types such as text, images, video, and audio is discussed in Chapter 9. Note that in order to mine multimedia data, we must mine combinations of two or more data types such as text and video, or text, video, and audio. However, this book mainly deals with one data type at a time because we first need techniques to mine the data belonging to the individual data types before mining multimedia data. In the future, we can expect tools for multimedia data mining to be developed.
