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
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;
Conference_Titel :
Multimedia (ISM), 2014 IEEE International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4799-4312-8
DOI :
10.1109/ISM.2014.14
