TY - GEN
T1 - A music retrieval system supporting intuitive visualization by the color sense of tonality
AU - Imai, Sahori
AU - Kurabayashi, Shuichi
AU - Ijichi, Asako
AU - Kiyoki, Yasushi
PY - 2006
Y1 - 2006
N2 - A large number of music resources are provided in the world-wide scope. However, users have to listen to each music data to access and choose their favourite ones, since conventional music databases have not concerned fast browsing and easy comparison of entire search results. In such situation, music collections require smart methods of searching and browsing. In this paper, we propose a novel music database system equipped with a musical knowledge base that assists database processing automatically by providing formal intelligence about music. The musical knowledge base sets appropriate parameters for database processing. It offers an easy and intuitive mechanism for general users to retrieve musical compositions. One of the most significant advantages of our database system is that it introduces a metadata model dealing with sensibility of end users. Our approach makes it possible to realize intuitive music discovering. We show several experimental results to clarify the feasibility of our method.
AB - A large number of music resources are provided in the world-wide scope. However, users have to listen to each music data to access and choose their favourite ones, since conventional music databases have not concerned fast browsing and easy comparison of entire search results. In such situation, music collections require smart methods of searching and browsing. In this paper, we propose a novel music database system equipped with a musical knowledge base that assists database processing automatically by providing formal intelligence about music. The musical knowledge base sets appropriate parameters for database processing. It offers an easy and intuitive mechanism for general users to retrieve musical compositions. One of the most significant advantages of our database system is that it introduces a metadata model dealing with sensibility of end users. Our approach makes it possible to realize intuitive music discovering. We show several experimental results to clarify the feasibility of our method.
KW - Database visualization
KW - Multimedia database
KW - Music database
KW - Retrieval-by-sensibility
UR - http://www.scopus.com/inward/record.url?scp=38049138511&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38049138511&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:38049138511
SN - 9780889865624
T3 - Proceedings of the IASTED International Conference on Databases and Applications, DBA 2006
SP - 153
EP - 159
BT - Proceedings of the IASTED International Conference on Databases and Applications, DBA 2006
T2 - IASTED International Conference on Databases and Applications, DBA 2006
Y2 - 14 February 2006 through 16 February 2006
ER -