Abstract:A subband decomposition scheme for video signals, in which the original or difference frames are each decomposed into 16 equal-size frequency subbands, is considered. Westerink et al. [4] have shown that the distribution of the sample values in each subband can be modeled with a "generalized Gaussian" probability density function (pdf) where three parameters, mean, variance, and shape are required to uniquely determine the pdf. To estimate the shape parameter, a series of statistical goodness-of-fit tests such… Show more
“…These parameters are all associated with the dry snow and wet snow samples, respectively, for a given value of the threshold T. H(V,T) stands for the Sharifi & Leon-Garcia (1995). As shown above, the advantages of the GG model method are: it requires less manual input parameters (the parameters are computed automatically); the classification result is unique (namely, the threshold is unique); and it is capable of spanning a large variety of statistical behaviours.…”
Section: Melt Signal Adaptation Methods Based On a Gg Modelmentioning
confidence: 99%
“…Among the possible models, the GG distribution is a particularly attractive candidate. The analytical expression of the GG distribution considered in our approach for modelling the two class-conditional pdfs is given by (Sharifi & Leon-Garcia 1995;Niehsen 1999):…”
Section: Melt Signal Adaptation Methods Based On a Gg Modelmentioning
“…These parameters are all associated with the dry snow and wet snow samples, respectively, for a given value of the threshold T. H(V,T) stands for the Sharifi & Leon-Garcia (1995). As shown above, the advantages of the GG model method are: it requires less manual input parameters (the parameters are computed automatically); the classification result is unique (namely, the threshold is unique); and it is capable of spanning a large variety of statistical behaviours.…”
Section: Melt Signal Adaptation Methods Based On a Gg Modelmentioning
confidence: 99%
“…Among the possible models, the GG distribution is a particularly attractive candidate. The analytical expression of the GG distribution considered in our approach for modelling the two class-conditional pdfs is given by (Sharifi & Leon-Garcia 1995;Niehsen 1999):…”
Section: Melt Signal Adaptation Methods Based On a Gg Modelmentioning
“…Other experiments have shown a better approximation precision of the generalized Gaussian distributions than of the Gaussian distributions, for example (Sharifi & Leon-Garcia, 1995), (Moulin & Liu, 1999) for in image processing and video analysis, (Bicego et al, 2008) for EEG time series modeling.…”
Section: Probabilistic Distributions and Their Application In Naturalmentioning
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