Wavelet-Based Texture Retrieval Modeling the Magnitudes of Wavelet Detail Coefficients with a Generalized Gamma Distribution

Computing the Kullback-Leibler Divergence between two Generalized Gamma Distributions

“…As a flexible skewed distribution, the generalized gamma is frequently used for life-time analysis and reliability testing. In addition, it models fading phenomena in wireless communication, has been applied in automatic image retrieval and analysis [4,5,6], was used to evaluate dimensionality reduction techniques [7], and also appears to be connected to diffusion processes in (social) networks [8,9,10]. Accordingly, methods for measuring (dis)similarities between generalized gamma distributions are of practical interest in data science because they facilitate model selection and statistical inference.…”

“…Given this expansion of (3), we consider the integrals in (5) to (8) one by one and then construct the final result from the intermediate results we thus obtain.…”

IOWA Operators and Its Application to Image Retrieval

“…level features (usually obtained by combining low level features in a reasonable predefined model). Since high level features have a strong dependency with the application domain, many research activities have been focused on the extraction of good low level descriptors [3] [2]. A query can be seen as an expression of an information need to be satisfied.…”