Testing a multivariate model for wavelet coefficients

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 1277-1280

  Kwitt, Roland ^a   Meerwald, Peter ^a   Uhl, Andreas ^a   Verdoolaege, Geert ^b  

^a UNIVERSITY OF SALZBURG   (Austria)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

Hypothesis testing; Multivariate modeling; Wavelet transform

Indexed keywords

COLOR IMAGE RETRIEVAL; GENERALIZED GAUSSIAN; GOODNESS OF FIT; GOODNESS-OF-FIT TEST; HYPOTHESIS TESTING; MULTIVARIATE MODELS; SPREAD-SPECTRUM WATERMARKING; TEXTURE IMAGE; WAVELET COEFFICIENTS;

IMAGE PROCESSING; IMAGE RETRIEVAL;

WAVELET TRANSFORMS;

EID: 84856237065     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6115667     Document Type: Conference Paper

References (8)

1. G. Verdoolaege, Y. Rosseel, M. Lambrechts, and P. Scheunders, "Wavelet-based colour texture retrieval using the Kullback-Leibler divergence between bivariate Generalized Gaussian models," in Proceedings of the IEEE International Conference on Image Processing (ICIP '09), Cairo, Egypt, Nov. 2009, pp. 265-268.
2. R. Kwitt, P.Meerwald, and A. Uhl, "Color-image watermarking using multivariate power-exponential distribution," in Proceedings of the IEEE International Conference on Image Processing (ICIP '09), Cairo, Egypt, Nov. 2009, pp. 4245-4248.
3. E. Gomez, M-A. Gomez-Villegas, and J. M. Marin, "A multivariate generalization of the power exponential family of distributions, "Communications in Statistics - Theory and Methods, vol. 27, no. 3, pp. 589-600, 1998. (Pubitemid 128454912)
4. S. P. Smith and A. K. Jain, "A test to determine the multivariate normality of a data set," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 5, pp. 757-761, Sept. 1988.
5. M. F. Schilling, "Two-sample tests based on nearest neighbors,"Journal of the American Statistical Association, vol. 81, no. 395, pp. 799-806, Sept. 1986.
6. K. V. Mardia and P. Rupp, Directional Statistics, John Wiley and Sons Ltd., 2000, 2nd ed.
7. A. Gretton, K. Fukumizu, C.H. Teo, L. Song, B. Schölkopf, and A.J. Smola, "A kernel statistical test of independence," in Pro- ceedings of the International Conference on Advances in Neural Information Processing Systems (NIPS'07), Vancouver, Canada, Dec. 2007, pp. 585-592.
8. N. Henze, "A multivariate two-sample test based on the number of nearest neighbor type coincidences," Annals of Statistics, vol. 16, no. 2, pp. 772-783, June 1988.