Wavelet-Based Dynamic Texture Classification Using Gumbel Distribution
Joint Authors
Song, Chun-Yan
Wang, Fu-Shan
Qiao, Yu-Long
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Dynamic texture classification has attracted growing attention.
Characterization of a dynamic texture is vital to address the classification problem.
This paper proposes a dynamic texture descriptor based on the dual-tree complex wavelet transform and the Gumbel distribution.
The method takes out the median values of coefficient magnitudes in each nonoverlapping block of a detail subband and models them with the Gumbel distribution.
The classification is realized by comparing the similarity between the estimated distributions of all detail subbands.
The experimental results on the benchmark dynamic texture database demonstrate better histogram fitting and promising classification performance of the dynamic texture descriptor compared with the current existing methods.
American Psychological Association (APA)
Qiao, Yu-Long& Song, Chun-Yan& Wang, Fu-Shan. 2013. Wavelet-Based Dynamic Texture Classification Using Gumbel Distribution. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032148
Modern Language Association (MLA)
Qiao, Yu-Long…[et al.]. Wavelet-Based Dynamic Texture Classification Using Gumbel Distribution. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1032148
American Medical Association (AMA)
Qiao, Yu-Long& Song, Chun-Yan& Wang, Fu-Shan. Wavelet-Based Dynamic Texture Classification Using Gumbel Distribution. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032148
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032148