de Recherche et d’Innovation
en Cybersécurité et Société
Allili, M. S.
Wavelet modeling using finite mixtures of generalized Gaussian distributions: Application to texture discrimination and retrieval Article de journal
Dans: IEEE Transactions on Image Processing, vol. 21, no 4, p. 1452–1464, 2012, ISSN: 10577149.
Résumé | Liens | BibTeX | Étiquettes: algorithm, Algorithms, article, Automated, automated pattern recognition, computer assisted diagnosis, Computer Simulation, Computer-Assisted, Data Interpretation, Finite mixtures, Generalized Gaussian, Generalized Gaussian Distributions, Image Enhancement, Image Interpretation, Image segmentation, Imaging, Kullback Leibler divergence, Marginal distribution, methodology, Mixtures, Models, Monte Carlo methods, Monte Carlo sampling, Normal Distribution, Pattern Recognition, Performance improvements, reproducibility, Reproducibility of Results, Sensitivity and Specificity, Similarity measure, State-of-the-art approach, Statistical, statistical analysis, statistical model, Texture data set, Texture discrimination, Texture modeling, Textures, three dimensional imaging, Three-Dimensional, Wavelet Analysis, Wavelet coefficients, Wavelet decomposition, Wavelet modeling
@article{allili_wavelet_2012,
title = {Wavelet modeling using finite mixtures of generalized Gaussian distributions: Application to texture discrimination and retrieval},
author = {M. S. Allili},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859096106&doi=10.1109%2fTIP.2011.2170701&partnerID=40&md5=0420facdc04978ad84bea3126bc1183a},
doi = {10.1109/TIP.2011.2170701},
issn = {10577149},
year = {2012},
date = {2012-01-01},
journal = {IEEE Transactions on Image Processing},
volume = {21},
number = {4},
pages = {1452–1464},
abstract = {This paper addresses statistical-based texture modeling using wavelets. We propose a new approach to represent the marginal distribution of the wavelet coefficients using finite mixtures of generalized Gaussian (MoGG) distributions. The MoGG captures a wide range of histogram shapes, which provides better description and discrimination of texture than using single probability density functions (pdf's), as proposed by recent state-of-the-art approaches. Moreover, we propose a model similarity measure based on Kullback-Leibler divergence (KLD) approximation using Monte Carlo sampling methods. Through experiments on two popular texture data sets, we show that our approach yields significant performance improvements for texture discrimination and retrieval, as compared with recent methods of statistical-based wavelet modeling. © 2011 IEEE.},
keywords = {algorithm, Algorithms, article, Automated, automated pattern recognition, computer assisted diagnosis, Computer Simulation, Computer-Assisted, Data Interpretation, Finite mixtures, Generalized Gaussian, Generalized Gaussian Distributions, Image Enhancement, Image Interpretation, Image segmentation, Imaging, Kullback Leibler divergence, Marginal distribution, methodology, Mixtures, Models, Monte Carlo methods, Monte Carlo sampling, Normal Distribution, Pattern Recognition, Performance improvements, reproducibility, Reproducibility of Results, Sensitivity and Specificity, Similarity measure, State-of-the-art approach, Statistical, statistical analysis, statistical model, Texture data set, Texture discrimination, Texture modeling, Textures, three dimensional imaging, Three-Dimensional, Wavelet Analysis, Wavelet coefficients, Wavelet decomposition, Wavelet modeling},
pubstate = {published},
tppubtype = {article}
}
Renaud, P.; Chartier, S.; Albert, G.; Décarie, J.; Cournoyer, L. -G.; Bouchard, S.
Presence as determined by fractal perceptual-motor dynamics Article de journal
Dans: Cyberpsychology and Behavior, vol. 10, no 1, p. 122–130, 2007, ISSN: 10949313.
Résumé | Liens | BibTeX | Étiquettes: adult, article, eye movement, Eye movements, female, gaze, human, Humans, immersion, male, mathematical computing, motor performance, perceptual motor dynamics, Psychomotor Performance, simulation, Social Environment, Social Perception, standard, three dimensional imaging, User-Computer Interface, virtual reality modeling language, Visual Perception
@article{renaud_presence_2007,
title = {Presence as determined by fractal perceptual-motor dynamics},
author = {P. Renaud and S. Chartier and G. Albert and J. Décarie and L. -G. Cournoyer and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847713017&doi=10.1089%2fcpb.2006.9983&partnerID=40&md5=c1c6df654279a13b1553e9cfbf43acd0},
doi = {10.1089/cpb.2006.9983},
issn = {10949313},
year = {2007},
date = {2007-01-01},
journal = {Cyberpsychology and Behavior},
volume = {10},
number = {1},
pages = {122–130},
abstract = {This paper presents a tentative model of the role of perceptual-motor dynamics in the emergence of the feeling of presence. A new method allowing the measure of how gaze probes three-dimensional space in immersion is used to support this model. Fractal computations of gaze behavior are shown to be more effective titan standard computations of eye movements in predicting presence. © Mary Ann Liebert, Inc.},
keywords = {adult, article, eye movement, Eye movements, female, gaze, human, Humans, immersion, male, mathematical computing, motor performance, perceptual motor dynamics, Psychomotor Performance, simulation, Social Environment, Social Perception, standard, three dimensional imaging, User-Computer Interface, virtual reality modeling language, Visual Perception},
pubstate = {published},
tppubtype = {article}
}