Providing valuable semantic descriptors of multimedia content is a topic of high interest for music content processing. Such descriptors should merge the two predicates of (1) being useful for different operations such as retrieval, visual representation of collections, classification, etc., and (2) being automatically extractable from the source. In this paper the semantic descriptor concept music complexity is introduced, and the advantages of their usage for music retrieval and for automated music recommendation are addressed. The authors provide a critical review of existing related proposals and also prospect new methods for automated music complexity estimation.

Authors: Streich, Sebastian; Herrera, Perfecto
Affiliation: Universitat Pompeu Fabra, Barcelona, Spain
AES Conference: 25th International Conference: Metadata for Audio (June 2004)
Paper Number: 5-1
Publication Date: June 1, 2004 Import into BibTeX
Subject: Metadata for Audio
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=12813

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