Systems and method for automatically choosing visual characteristics to highlight a target against a background
First Claim
1. A method for choosing visual characteristics of a characteristic space within a region, comprising:
- determining a saliency based on an inverse covariance of the region and a difference between a target characteristic and a mean characteristic of the region;
comparing the saliency against at least one acceptance criterion;
adjusting the target characteristic and repeating the determining the saliency and comparing the saliency steps if the saliency does not satisfy the at least one acceptance criterion; and
outputting the target characteristic if the saliency satisfies the at least one acceptance criterion.
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Accused Products
Abstract
A method for choosing visual characteristics of a characteristic space within a region includes calculating a mean characteristic of the region, determining a covariance of the region, inverting the covariance to produce an inverse covariance, estimating a target characteristic, determining a difference between the mean characteristic and the target characteristic transposing the difference to produce a difference transpose, determining a saliency from a product of the difference transpose multiplied by the inverse covariance multiplied by the difference, comparing the saliency to an acceptance criterion to yield one of an acceptance if the saliency satisfies the acceptance criterion and a rejection otherwise, adjusting the target characteristic and repeating the determining a difference, transposing the difference, determining a saliency and comparing the saliency steps if the comparing yields the rejection, and outputting the target characteristic if the comparing yields the acceptance.
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Citations
39 Claims
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1. A method for choosing visual characteristics of a characteristic space within a region, comprising:
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determining a saliency based on an inverse covariance of the region and a difference between a target characteristic and a mean characteristic of the region; comparing the saliency against at least one acceptance criterion; adjusting the target characteristic and repeating the determining the saliency and comparing the saliency steps if the saliency does not satisfy the at least one acceptance criterion; and outputting the target characteristic if the saliency satisfies the at least one acceptance criterion. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A method for choosing characteristics of a characteristic space within a region, comprising:
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determining a mean characteristic of the region; determining a covariance of the region; inverting the covariance to produce an inverse covariance; estimating a target characteristic; determining a difference between the mean characteristic and the target characteristic; transposing the difference to produce a difference transpose; determining a saliency from a product of the difference transpose multiplied by the inverse covariance multiplied by the difference; comparing the saliency against at least one acceptance criterion; adjusting the target characteristic and repeating the determining the saliency and comparing the saliency steps if the saliency does not satisfy the at least one acceptance criterion; and outputting the target characteristic if the saliency satisfies the at least one acceptance criterion.
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26. A computer storage medium having executable software code, the executable software code including:
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instructions for determining a saliency based on an inverse covariance of the region and a difference between a target characteristic and a mean characteristic of the region; instructions for comparing the saliency against at least one acceptance criterion; instructions for adjusting the target characteristic and repeating the determining the saliency and comparing the saliency steps if the saliency does not satisfy the at least one acceptance criterion; and instructions for outputting the target characteristic if the saliency satisfies the at least one acceptance criterion. - View Dependent Claims (27, 28, 29, 30, 31, 32)
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33. A system for choosing visual characteristics of a characteristic space within a region, comprising:
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a saliency determining circuit, routine or application usable to determine a saliency based on an inverse covariance of the region and a difference between a target characteristic and a mean characteristic of the region; a comparing circuit, routine or application usable to compare the saliency against at least one acceptance criterion; and a characteristics adjusting circuit, routine or application usable to adjust the target characteristic if the comparing circuit, routine or application determines that the saliency does not satisfy the at least one acceptance criterion. - View Dependent Claims (34, 35, 36, 37, 38, 39)
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Specification