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We propose signature linear discriminant analysis (signature-LDA) as an extension of LDA that can be applied to signatures, which are known to be more informative representations of local image features than vector representations, such as visual word histograms. Based on earth mover's distances between signatures, signature-LDA does not require vectorization of local image features in contrast to...
In this paper, we present an image retrieval method that integrates the color, textural and spatial information of images to facilitate the retrieval effect. Nine parameters are extracted based on the HSV, GLCM, LRE models, and wavelet, fractal algorithms, which include: hue, saturation, value, contrast, angular second moment, sum of variances, long run emphasis, fractal dimension, and wavelet horizontal...
We present information-theoretic underpinnings of a computation theory of low-level visual fixations in natural images. In continuation of our prior work on optimal contrast-based fixations [1], we develop an optimum texture- based fixation selection algorithm based on a recent theory of non-stationarity measurement in natural images [2]. Thereafter we propose a simple coupling of the optimal texture-based...
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