نتایج جستجو برای: perceptual measure

تعداد نتایج: 395551  

2001
Ralph van Dinther Raymond N. J. Veldhuis Armin Kohlrausch

The perceptual relevance of changes to glottal-pulse parameters is studied. First, it is demonstrated that a distance measure based on excitation patterns can predict audibility discrimination thresholds for small changes to the R parameters of the Liljencrants-Fant (LF) model. Next, by using this measure the perceptual relevance of the LF parameters is quantified. Results are presented for a n...

Journal: :Neuropsychology 1997
N M Fristoe T A Salthouse J L Woodard

Adult age differences in Wisconsin Card Sorting Test (WCST) measures were examined before and after statistical control of age-related differences in measures of feedback usage, working memory, and perceptual-comparison speed. The proportion of age-related variance associated with a summary measure of WCST performance was greatly reduced after controlling for measures of feedback usage, working...

2002
Baitao Li Chang E. Ching-Tung Wu

For almost a decade, Content-Based Image Retrieval has been an active research area, yet one fundamental problem remains largely unsolved: how to measure perceptual similarity. To measure perceptual similarity, most researchers employ the Minkowski-type metric. Our extensive data-mining experiments on visual data show that, unfortunately, the Minkowski metric is not very effective in modeling p...

Journal: :Journal of abnormal psychology 1974
A McDonald

Eysenck in a 1964 article and Petrie in a 1967 article offered theories relating perceptual characteristics to personality traits, primarily extraversion. Petrie believes that perceptual reactance, the degree to which a given individual over or underresponds to external stimuli, is fairly stable within individuals. Eysenck offered a parallel concept, the excitation/inhibition ratio, to explain ...

2001
Edward Chang

For almost a decade, Content-Based Information Retrieval has been an active research area, yet two fundamental problems remain largely unsolved: how best to learn users’ query concepts, and how to measure perceptual similarity. To learn subjective query concepts, most systems use relevance feedback techniques. However, these traditional techniques often require a large number of training instan...

2003
Caroline A. Watt Robert L. Morris

Two experiments compare pe~orlnance on a prototype indicator of perceptual defencelvtgilance with performance on other related measures of individual differences. On the basis of theoretical expectations and empirical findings, participants’ performance on the prototype indicator of perceptual defencelvigilance was predicted to relate to the personality factor of Neuroticism, and to performance...

Journal: :Journal of the Optical Society of America. A, Optics, image science, and vision 2014
Xun He Christoph Witzel Lewis Forder Alexandra Clifford Anna Franklin

Prior claims that color categories affect color perception are confounded by inequalities in the color space used to equate same- and different-category colors. Here, we equate same- and different-category colors in the number of just-noticeable differences, and measure event-related potentials (ERPs) to these colors on a visual oddball task to establish if color categories affect perceptual or...

Journal: :IEEE Trans. Information Theory 1999
Jia Li Navin Chaddha Robert M. Gray

Gersho’s bounds on the asymptotic performance of vector quantizers are valid for vector distortions which are powers of the Euclidean norm. Yamada, Tazaki and Gray generalized the results to distortion measures that are increasing functions of the norm of their argument. In both cases, the distortion is uniquely determined by the vector quantization error, i.e., the Euclidean difference between...

2012
Prateek Gupta Priyanka Srivastava Satyam Bhardwaj Vikrant Bhateja

Human eyes are the best evaluation model for assessing the image quality as they are the ultimate receivers in numerous image processing applications. Mean squared error (MSE) and peak signal-to-noise ratio (PSNR) are the two most common full-reference measures for objective assessment of the image quality. These are well known for their computational simplicity and applicability for optimizati...

Journal: :CoRR 2017
Yannick Hold-Geoffroy Kalyan Sunkavalli Jonathan Eisenmann Matt Fisher Emiliano Gambaretto Sunil Hadap Jean-François Lalonde

Most current single image camera calibration methods rely on specific image features or user input, and cannot be applied to natural images captured in uncontrolled settings. We propose directly inferring camera calibration parameters from a single image using a deep convolutional neural network. This network is trained using automatically generated samples from a large-scale panorama dataset, ...

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