Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/935242

OpenURL Link
Title
Correlation-based feature selection and regression
Author/Creator
Cui, Yue;  Jin, Jesse S.;  Zhang, Shiliang;  Luo, Suhuai;  Tian, Qi
Institution
The University of Newcastle. Faculty of Science & Information Technology, School of Design Communication and Information Technology
Description
Music video is a well-known medium in music entertainment which contains rich affective information and has been widely accepted as emotion expressions. Affective analysis plays an important role in the content-based indexing and retrieval of music video. This paper proposes a general scheme for music video affective estimation using correlation based feature selection followed by regression. Arousal score and valence score with four grade scales are used to measure music video affective content in 2D arousal/valence space. The main contributions are in the following aspects: (1) correlation-based feature selection is performed after feature extraction to select representative arousal and valence features; (2) different regression methods including multiple linear regression and support vector regression with different kernels are compared to find the fittest estimation model. Significant reductions in terms of both mean absolute error and variation of absolute error compared with the state-of-the-art methods clearly demonstrate the effectiveness of our proposed method.
Relation
11th Pacific Rim Conference on Multimedia (PCM 2010). Advances in Multimedia Information Processing - PCM 2010: 11th Pacific Rim Conference on Multimedia: Proceedings, Part 1 (Shanghai, China 21-24 September, 2010) p. 25-35
Publisher Link
http://dx.doi.org/10.1007/978-3-642-15702-8_3
Date
2010
Publisher
Springer
Keyword(s)
affective analysis;  music video;  correlation-based feature selection;  support vector regression
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/935242
Identifier
ISBN:9783642157011
Identifier
ISSN:0302-9743
Reviewed
Reviewed
9 Visitors 11 Hits 0 Downloads
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Correlation-based feature selection and regression"
 
OR