Indexing and retrieving continuations in musical time series data using relational databases

Aleksey Charapko, Ching Hua Chuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages341-346
Number of pages6
ISBN (Electronic)9781479943111
DOIs
StatePublished - Feb 5 2015
Externally publishedYes
Event16th IEEE International Symposium on Multimedia, ISM 2014 - Taichung, Taiwan, Province of China
Duration: Dec 10 2014Dec 12 2014

Publication series

NameProceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014

Other

Other16th IEEE International Symposium on Multimedia, ISM 2014
Country/TerritoryTaiwan, Province of China
CityTaichung
Period12/10/1412/12/14

Keywords

  • continuations
  • data sequence
  • database
  • information retrieval
  • music generation

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software
  • Media Technology

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