Title : 
Tune retrieval based on the similarity of melody
         
        
            Author : 
Nakagawa, Yuka ; Nakamura, Yasuaki
         
        
            Author_Institution : 
Dept. of Comput. Sci., Hiroshima City Univ., Japan
         
        
        
        
        
            Abstract : 
Melody-based retrieval of music, which is one type of content-based retrieval, is proposed. Every fragment of a melody is represented as an appropriate N-dimensional vector, called a feature vector. A feature vector consists of values corresponding to intervals and rhythm of a melody. Depending on the distance between every fragment of a melody in the music database to the entered melody, k-nearest melodies can be obtained quickly using the SS-tree. A prototype system is developed to demonstrate the effectiveness of our approach.
         
        
            Keywords : 
content-based retrieval; multimedia databases; music; tree data structures; N-dimensional vector; SS-tree; feature vector; intervals; k-nearest melodies; melody similarity; melody-based retrieval; music database; rhythm; tune retrieval; Computer science; Content based retrieval; Content management; Multimedia computing; Multimedia databases; Multimedia systems; Music information retrieval; Prototypes; Rhythm; Spatial databases;
         
        
        
        
            Conference_Titel : 
Web Delivering of Music, 2002. WEDELMUSIC 2002. Proceedings. Second International Conference on
         
        
            Print_ISBN : 
0-7695-1623-8
         
        
        
            DOI : 
10.1109/WDM.2002.1176219