Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Content-based retrieval for music collections
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Selection of Melody Lines for Music Databases
COMPSAC '00 24th International Computer Software and Applications Conference
Query by Rhythm: An Approach for Song Retrieval in Music Databases
RIDE '98 Proceedings of the Workshop on Research Issues in Database Engineering
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)
An Approximate String Matching Algorithm for Content-Based Music Data Retrieval
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Discovering nontrivial repeating patterns in music data
IEEE Transactions on Multimedia
Digital library development in the asia pacific
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
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Content-based music information retrieval and theme mining are two key problems in digital music libraries, where “themes” mean the longest repeating patterns in a piece of music. However, most data structures constructed for retrieving music data can not be efficiently used to mine the themes of music pieces, and vice versa. The suffix tree structure can be used for both functions, nevertheless its height is too large and its maintenance is somewhat difficult. In this paper, a kind of index structure is introduced, which adopts the idea of inverted files and that of N-gram. It can be used to retrieve music data as well as to mine music themes. Based on the index and several useful concepts, a theme mining algorithm is proposed. Also, two implementations of a content-based music information retrieval algorithm are presented. Experiments show the correctness and efficiency of the proposed index and algorithms.