• DocumentCode
    259519
  • Title

    Indexing and Retrieving Continuations in Musical Time Series Data Using Relational Databases

  • Author

    Charapko, Aleksey ; Ching-Hua Chuan

  • Author_Institution
    Sch. of Comput., Univ. of North Florida, Jacksonville, FL, USA
  • fYear
    2014
  • fDate
    10-12 Dec. 2014
  • Firstpage
    341
  • Lastpage
    346
  • Abstract
    This paper proposed and tested a model that provides quick search and retrieval of continuations for time series, particularly musical data, using relational databases. The model extends an existing interactive music-generation system by focusing on large input sequences. Experiments using textural and musical data provided satisfactory performance results for the model.
  • Keywords
    indexing; information retrieval; music; relational databases; time series; indexing; input sequences; interactive music-generation system; musical time series data; relational databases; retrieving continuations; textural data; Buildings; Computational modeling; Data models; Indexing; Relational databases; Time series analysis; continuations; data sequence; database; information retrieval; music generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia (ISM), 2014 IEEE International Symposium on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4799-4312-8
  • Type

    conf

  • DOI
    10.1109/ISM.2014.14
  • Filename
    7033048
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=259519