01735nas a2200205   4500008004100000245007900041210006900120260000900189300001200198490000600210520104200216653002201258653001901280653002301299653003301322100001701355700002001372700002001392856011701412       2007                        eng d00aAnalysis of the data quality of audio descriptions of environmental sounds0 aAnalysis of the data quality of audio descriptions of environmen  c2007  a48 - 540 v53 aIn 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.10aAudio descriptors10aAudio features10aMPEG-7 descriptors10aMultimedia content retrieval1 aMitrovic, D.1 aZeppelzauer, M.1 aEidenberger, H.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-44849119790&partnerID=40&md5=8ed62cb5e71bdeccf00462d93d30e2db