@article {74,
	title = {Analysis of the data quality of audio descriptions of environmental sounds},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Cited By (since 1996):9Export Date: 10 July 2014},
	month = {2007},
	pages = {48 - 54},
	abstract = {In this paper we perform statistical data analysis of a broad set of state-of-the-art audio features and low-level MPEG-7 audio descriptors. The investigation comprises data analysis to reveal redundancies between state-of-the-art audio features and MPEG-7 audio descriptors. We introduce a novel measure to evaluate the information content of a descriptor in terms of variance. Statistical data analysis reveals the amount of variance contained in a feature. It enables identification of independent and redundant features. This approach assists in efficient selection of orthogonal features for content-based retrieval. We believe that a good feature should provide descriptions with high variance for the underlying data. Combinations of features should consist of decorrelated features in order to increase expressiveness of the descriptions. Although MPEG-7 is a popular and widely used standard for multimedia description, only few investigations do exist that address analysis of the data quality of low-level MPEG-7 descriptions.},
	keywords = {Audio descriptors, Audio features, MPEG-7 descriptors, Multimedia content retrieval},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44849119790\&partnerID=40\&md5=8ed62cb5e71bdeccf00462d93d30e2db},
	author = {Mitrovic, D. and Zeppelzauer, M. and Eidenberger, H.}
}
