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Musical content-based retrieval: an overview of the Melodiscov approach and system

Authors:

Pierre-Yves Rolland,

Gailius Raškinis,

Jean-Gabriel GanasciaAuthors Info & Claims

MULTIMEDIA '99: Proceedings of the seventh ACM international conference on Multimedia (Part 1)

Pages 81 - 84

https://doi.org/10.1145/319463.319473

Published: 30 October 1999 Publication History

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References

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Cambouropoulos, E., T. Crawford & C.S. Iliopoulos. (1999). Pattern Processing in Melodic Sequences: Challenges. Caveats and Prospects. In Cambouropoulos, E. and Rolland. P.Y. (editors) Proceedings of Focus Workshop on Pattern Processing in Music Analysis and Creation. Edinburgh, April 1999.

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Ra~kinis, G. (1998). Preprocessing of Folk Song Acoustic Records for Transcription into Music Scores, Informatica 9(3). iMI, Vilnius.

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Rolland, P.Y. 1998. D6couverte Automatique de R6gularitds dans les S6quences et Application fi l'Analyse Musicale. These de Doctorat en Informatique de l'Universitd Paris VI (Ph.D). July 1998.

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Rolland, P.Y. (1998). FlExPat ~ a Novel Algorithm for Musical Pattern Discovery. Proceedings of the 12th Colloquium on Musical Infonnatics (XII CIM). pp. 125-128. Co-sponsored by IEEE (CS/TCCGM). Italy.

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Rolland, P.Y. Ganascia, J.G. '1999). Musical Pattern Extraction and Similarity Assessment. In Miranda, E. (ed.). Readings in Music and Artificial Intelligence. Harwood Academic Publishers.

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Cited By

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Eslami SGhasemaghaei M(2018)Effects of online review positiveness and review score inconsistency on sales: A comparison by product involvementJournal of Retailing and Consumer Services10.1016/j.jretconser.2018.08.00345(74-80)Online publication date: Nov-2018
https://doi.org/10.1016/j.jretconser.2018.08.003
Jensen K(2011)Acoustic Analysis of Music AlbumsMachine Learning Techniques for Adaptive Multimedia Retrieval10.4018/978-1-61692-859-9.ch015(322-340)Online publication date: 2011
https://doi.org/10.4018/978-1-61692-859-9.ch015
Jensen K(2011)Music genre classification using an auditory memory modelProceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India10.1007/978-3-642-31980-8_7(79-88)Online publication date: 9-Mar-2011
https://dl.acm.org/doi/10.1007/978-3-642-31980-8_7
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Index Terms

Musical content-based retrieval: an overview of the Melodiscov approach and system
1. Applied computing
  1. Arts and humanities
    1. Sound and music computing
2. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Multimedia and multimodal retrieval
        Music retrieval
  2. Information systems applications
    1. Multimedia information systems

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Published In

MULTIMEDIA '99: Proceedings of the seventh ACM international conference on Multimedia (Part 1)

October 1999

516 pages

ISBN:1581131518

DOI:10.1145/319463

Chairmen:
John Buford
GTE Laboratories
,
Scott Stevens
Carnegie Mellon Univ.
,
Dick Bulterman
CWI
,
Kevin Jeffay
Univ. of North Carolina, Chapel Hill
,
HongJiang Zhang
Microsoft Research, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 30 October 1999

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MM99: ACM Multimedia 1999

October 30 - November 5, 1999

Florida, Orlando, USA

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Overall Acceptance Rate 995 of 4,171 submissions, 24%

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Eslami SGhasemaghaei M(2018)Effects of online review positiveness and review score inconsistency on sales: A comparison by product involvementJournal of Retailing and Consumer Services10.1016/j.jretconser.2018.08.00345(74-80)Online publication date: Nov-2018
https://doi.org/10.1016/j.jretconser.2018.08.003
Jensen K(2011)Acoustic Analysis of Music AlbumsMachine Learning Techniques for Adaptive Multimedia Retrieval10.4018/978-1-61692-859-9.ch015(322-340)Online publication date: 2011
https://doi.org/10.4018/978-1-61692-859-9.ch015
Jensen K(2011)Music genre classification using an auditory memory modelProceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India10.1007/978-3-642-31980-8_7(79-88)Online publication date: 9-Mar-2011
https://dl.acm.org/doi/10.1007/978-3-642-31980-8_7
Khan NKhan MMushtaq M(2010)Hybrid query by humming and metadata search system (HQMS)Proceedings of the 8th International Conference on Frontiers of Information Technology10.1145/1943628.1943637(1-4)Online publication date: 21-Dec-2010
https://dl.acm.org/doi/10.1145/1943628.1943637
Uitdenbogerd AChattaraj AZobel J(2006)Methodologies for Evaluation of Note-Based Music-Retrieval SystemsINFORMS Journal on Computing10.1287/ijoc.1050.013918:3(339-347)Online publication date: 1-Jan-2006
https://dl.acm.org/doi/10.1287/ijoc.1050.0139
Unal ENarayanan SChew EGeorgiou PDahlin NAmatriain XChew EFoote J(2006)A dictionary based approach for robust and syllable-independent audio input transcription for query by humming systemsProceedings of the 1st ACM workshop on Audio and music computing multimedia10.1145/1178723.1178729(37-44)Online publication date: 27-Oct-2006
https://dl.acm.org/doi/10.1145/1178723.1178729
Gillet ORichard G(2005)Drum loops retrieval from spoken queriesJournal of Intelligent Information Systems10.1007/s10844-005-0321-924:2(159-177)Online publication date: 1-May-2005
https://dl.acm.org/doi/10.1007/s10844-005-0321-9
Unal ENarayanan SShih HChew EKuo C(2005)Creating data resources for designing usercentric frontends for query-by-humming systemsMultimedia Systems10.1007/s00530-005-0176-510:6(475-483)Online publication date: 1-Oct-2005
https://dl.acm.org/doi/10.1007/s00530-005-0176-5
Downie J(2005)Music information retrievalAnnual Review of Information Science and Technology10.1002/aris.144037010837:1(295-340)Online publication date: 31-Jan-2005
https://doi.org/10.1002/aris.1440370108
(2004)Extraction and Indexing Representative Melodies Considering Musical Composition Forms for Content-based Music Information RetrievalsThe KIPS Transactions:PartD10.3745/KIPSTD.2004.11D.3.49511D:3(495-508)Online publication date: 1-Jun-2004
https://doi.org/10.3745/KIPSTD.2004.11D.3.495
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Localized Content-Based Image Retrieval

PopMash: an automatic musical-mashup system using computation of musical and lyrical agreement for transitions

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Research on Content-Based Multimedia Information Retrieval

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