NDLI: A Music Retrieval Method Based on Distribution of Feature Segments

Content Provider	IEEE Xplore Digital Library
Author	Ono, K. Suzuki, Yu. Kawagoe, K.
Copyright Year	2008
Description	Author affiliation: Grad. Sch. of Sci. & Eng., Ritsumeikan Univ. Kusatsu, Kusatsu (Ono, K.) \|\| Coll. of Inf. Sci. & Technol., Ritsumeikan Univ., Kusatsu (Suzuki, Yu.; Kawagoe, K.)
Abstract	In this paper, we propose a music retrieval method based on the distributions of features in the music. In common music retrieval methods, if several features are similar between the query and the retrieval target, the retrieval systems return that the query is similar to the retrieval target. However, a problem is that several features in the music are ignored. If the other features in the query and the retrieval target are quite different, the query and the retrieval target should be treated as different types of music. Therefore, we calculate the importance of each feature in the music. Then, we compare the importance of features between the query and the retrieval target, and we can retrieve the music without ignoring the importance of several features. In our experimental evaluation, we can confirm that our proposed system has better accuracy than the baseline method.
Starting Page	613
Ending Page	618
File Size	276472
Page Count	6
File Format	PDF
ISBN	9780769534541
DOI	10.1109/ISM.2008.93
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Music information retrieval Content based retrieval Educational institutions Information science TV Motion pictures Data mining Feature extraction Frequency conversion Vector Space Model Music Information Retrieval Content Based Retrieval TF-IDF
Content Type	Text
Resource Type	Article

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