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

1 Citation (Scopus)

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 - Jan 1 2015
Externally publishedYes
Event16th IEEE International Symposium on Multimedia, ISM 2014 - Taichung, Taiwan, Province of China
Duration: Dec 10 2014Dec 12 2014

Other

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

Fingerprint

Time series
Experiments

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

Cite this

Charapko, A., & Chuan, C-H. (2015). Indexing and retrieving continuations in musical time series data using relational databases. In Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014 (pp. 341-346). [7033048] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISM.2014.14

Indexing and retrieving continuations in musical time series data using relational databases. / Charapko, Aleksey; Chuan, Ching-Hua.

Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 341-346 7033048.

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

Charapko, A & Chuan, C-H 2015, Indexing and retrieving continuations in musical time series data using relational databases. in Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014., 7033048, Institute of Electrical and Electronics Engineers Inc., pp. 341-346, 16th IEEE International Symposium on Multimedia, ISM 2014, Taichung, Taiwan, Province of China, 12/10/14. https://doi.org/10.1109/ISM.2014.14
Charapko A, Chuan C-H. Indexing and retrieving continuations in musical time series data using relational databases. In Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 341-346. 7033048 https://doi.org/10.1109/ISM.2014.14
Charapko, Aleksey ; Chuan, Ching-Hua. / Indexing and retrieving continuations in musical time series data using relational databases. Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 341-346
@inproceedings{53d1af60742e41028f4af98a9f5b2a74,
title = "Indexing and retrieving continuations in musical time series data using relational databases",
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 = "continuations, data sequence, database, information retrieval, music generation",
author = "Aleksey Charapko and Ching-Hua Chuan",
year = "2015",
month = "1",
day = "1",
doi = "10.1109/ISM.2014.14",
language = "English (US)",
pages = "341--346",
booktitle = "Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Indexing and retrieving continuations in musical time series data using relational databases

AU - Charapko, Aleksey

AU - Chuan, Ching-Hua

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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.

AB - 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.

KW - continuations

KW - data sequence

KW - database

KW - information retrieval

KW - music generation

UR - http://www.scopus.com/inward/record.url?scp=84930456761&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84930456761&partnerID=8YFLogxK

U2 - 10.1109/ISM.2014.14

DO - 10.1109/ISM.2014.14

M3 - Conference contribution

AN - SCOPUS:84930456761

SP - 341

EP - 346

BT - Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -