KEYWORDS: Multimedia, Signal processing, Classification systems, Web services, Standards development, Feature extraction, Databases, Data modeling, Interfaces, Semantic video
Due to the growing amount of digital audio an increasing need to automatically categorize music and to create self-controlled and suitable playlists has been emerged. A few approaches to this task relying on low-level features have been published so far. Unfortunately the results utilizing those technologies are not sufficient yet. This paper gives an introduction how to enhance the results with regard to the perceptual similarity using different high-level descriptors and a powerful interaction between the algorithm and the user to consider his preferences. A successful interaction between server and client requires a powerful standardized query language. This paper describes the tools of the MPEG-7 Audio standard in detail and gives examples of already established query languages. Furthermore the requirements of a multimedia query language are identified and its application is exemplified by an automatic audio creation system using a query language.
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