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Automatic Thematic Extractor
dc.contributor.authorMeek, Colinen_US
dc.contributor.authorBirmingham, William P.en_US
dc.date.accessioned2006-09-11T17:50:09Z
dc.date.available2006-09-11T17:50:09Z
dc.date.issued2003-07en_US
dc.identifier.citationMeek, Colin; Birmingham, William P.; (2003). "Automatic Thematic Extractor." Journal of Intelligent Information Systems 21(1): 9-33. <http://hdl.handle.net/2027.42/46483>en_US
dc.identifier.issn0925-9902en_US
dc.identifier.issn1573-7675en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/46483
dc.description.abstractWe have created a system that identifies musical “keywords” or themes. The system searches for all patterns composed of melodic (intervallic for our purposes) repetition in a piece. This process generally uncovers a large number of patterns, many of which are either uninteresting or only superficially important. Filters reduce the number or prevalence, or both, of such patterns. Patterns are then rated according to perceptually significant characteristics. The top-ranked patterns correspond to important thematic or motivic musical content, as has been verified by comparisons with published musical thematic catalogs. The system operates robustly across a broad range of styles, and relies on no meta-data on its input, allowing it to independently and efficiently catalog multimedia data.en_US
dc.format.extent703134 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherComputer Scienceen_US
dc.subject.otherData Structures, Cryptology and Information Theoryen_US
dc.subject.otherArtificial Intelligence (Incl. Robotics)en_US
dc.subject.otherDocument Preparation and Text Processingen_US
dc.subject.otherBusiness Information Systemsen_US
dc.subject.otherMusic Information Retrievalen_US
dc.subject.otherCatalogingen_US
dc.subject.otherMetadata Creationen_US
dc.subject.otherMusicen_US
dc.titleAutomatic Thematic Extractoren_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumElectrical Engineering and Computer Science Dept., University of Michigan, 1101 Beal Ave., Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumElectrical Engineering and Computer Science Dept., University of Michigan, 1101 Beal Ave., Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/46483/1/10844_2004_Article_5122823.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1023549700206en_US
dc.identifier.sourceJournal of Intelligent Information Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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