Vertical partitioning for database design: a graphical algorithm
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Fast text searching: allowing errors
Communications of the ACM
Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Towards the digital music library: tune retrieval from acoustic input
Proceedings of the first ACM international conference on Digital libraries
Efficient repeating pattern finding in music databases
Proceedings of the seventh international conference on Information and knowledge management
A Melody-Based Similarity Computation Algorithm for Musical Information
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
Efficient Theme and Non-Trivial Repeating Pattern Discovering in Music Databases
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Music Databases: Indexing Techniques and Implementation
IW-MMDBMS '96 Proceedings of the 1996 International Workshop on Multi-Media Database Management Systems (IW-MMDBMS '96)
Machine learning of jazz grammars
Computer Music Journal
A content-based music retrieval system using representative melody index from music databases
CMMR'04 Proceedings of the Second international conference on Computer Music Modeling and Retrieval
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We proposed the mechanism of extracting theme melodies from a song by using a graphical clustering algorithm. In the proposed mechanism, a song is split into the set of motifs each of which is the minimum meaningful unit. Then the system clusters the motifs into groups based on the similarity values calculated between all pairs of motifs so that each cluster has higher similarity values between them than others. From each clusters, the system selects a theme melody based on the positions of the motif within a song and the maximum summation of similarity values of edges adjacent to the motif node in each cluster. As the experimental results, we showed an example in which we describe how the theme melodies of a song can be extracted by using the proposed algorithm.