Title :
MRTB framework: a robust content-based music retrieval and browsing
Author :
Park, Kyu-Sik ; Yoon, Won-Jung ; Lee, Kang-Kue ; Oh, Sang-heon ; Kim, Ki-Man
Author_Institution :
Div. of Inf. & Comput. Sci., Dankook Univ., Seoul, South Korea
Abstract :
In this paper, we propose new content-based music retrieval and browsing system so called MRTB. New feature extraction procedure such as multi-feature clustering (MFC) is proposed for robust and optimum performance of the music retrieval system. Using MFC, we can achieve 86% of average retrieving success rate and 0.5∼0.8 sec retrieval time based on top 10 ranked list rules. User friendly graphical interface of MRTB S/W is implemented in thumbnail manner so the user can easily verify their retrieving results with some useful musical information.
Keywords :
content-based retrieval; feature extraction; music; MRTB framework; browsing system; feature extraction; multifeature clustering; robust content-based music retrieval; Content based retrieval; Feature extraction; Multiple signal classification; Music information retrieval; Pattern matching; Pattern recognition; Robustness; Spatial databases; Support vector machine classification; Support vector machines;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2005.1405708
