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Mathematical Problems in Engineering
Volume 2013, Article ID 762472, 7 pages
Research Article

Wavelet-Based Dynamic Texture Classification Using Gumbel Distribution

1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150001, China

Received 14 December 2012; Revised 31 March 2013; Accepted 8 April 2013

Academic Editor: Jun Jiang

Copyright © 2013 Yu-Long Qiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Yulong Qiao, and Lixiang Weng, “Hidden Markov Model Based Dynamic Texture Classification,” Ieee Signal Processing Letters, vol. 22, no. 4, pp. 509–512, 2015. View at Publisher · View at Google Scholar
  • Yulong Qiao, and Ganchao Zhao, “Texture Segmentation Using Laplace Distribution-Based Wavelet-Domain Hidden Markov Tree Models,” Entropy, vol. 18, no. 11, pp. 384, 2016. View at Publisher · View at Google Scholar
  • Deepshika Tiwari, Vipin Tyagi, Deepshika Tiwari, and Vipin Tyagi, “Dynamic Texture Recognition: A Review,” Information Systems Design And Intelligent Applications, Vol 2, India 2016, vol. 434, pp. 365–373, 2016. View at Publisher · View at Google Scholar
  • Yulong Qiao, Yufei Wang, Na Li, and Wei Xi, “CHMM-based classification of dynamic textures,” Lecture Notes in Electrical Engineering, vol. 474, pp. 27–34, 2018. View at Publisher · View at Google Scholar