Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Gabor-LBP Features and Combined Classifiers for Music Genre Classification

Authors
Haiqian Wu, Ming Zhang
Corresponding Author
Haiqian Wu
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.101How to use a DOI?
Keywords
genre classification, Gabor filters, LBP, Comb-ined classifiers
Abstract
In this paper, we propose the combination of two visual features with the Gabor filters and LBP for music genre classification. In addition, we use combined classifiers training and testing data to reach a final decision. The experiment shows that we not only reduce the amount of time extracting features, but also achieve a satisfactory result.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.101How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Haiqian Wu
AU  - Ming Zhang
PY  - 2014/05
DA  - 2014/05
TI  - Gabor-LBP Features and Combined Classifiers for Music Genre Classification
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 419
EP  - 422
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.101
DO  - https://doi.org/10.2991/iccia.2012.101
ID  - Wu2014/05
ER  -