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- W348278158 abstract "According to the recent advances in multimedia computing, storage and searching technology have made large volume of music contents become prevalent. Also there has been increasing needs for the study on efficient categorization and searching technique for music contents management. In this paper, a new classifying method using the local information of music content and music tone feature is proposed. While the conventional classifying algorithms are based on entire information of music content, the algorithm proposed in this paper focuses on only the specific local information, which can drastically reduce the computing time without losing classifying accuracy. In order to improve the classifying accuracy, it uses a new classification feature based on music tone. The proposed method has been implemented as a part of MuSE (Music Search/Classification Engine) which was installed on various systems including commercial PDAs and PCs." @default.
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- W348278158 date "2007-01-01" @default.
- W348278158 modified "2023-09-28" @default.
- W348278158 title "Effective Mood Classification Method based on Music Segments" @default.
- W348278158 hasPublicationYear "2007" @default.
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