• DocumentCode
    3134698
  • Title

    Tune retrieval based on the similarity of melody

  • Author

    Nakagawa, Yuka ; Nakamura, Yasuaki

  • Author_Institution
    Dept. of Comput. Sci., Hiroshima City Univ., Japan
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    223
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Delivering of Music, 2002. WEDELMUSIC 2002. Proceedings. Second International Conference on
  • Print_ISBN
    0-7695-1623-8
  • Type

    conf

  • DOI
    10.1109/WDM.2002.1176219
  • Filename
    1176219