Visual saliency estimation for images and video
First Claim
Patent Images
1. A method, comprising:
- decomposing, by a processor, an image into elements, wherein each element comprises at least one pixel;
calculating, by the processor using a first Gaussian filter, a first image measure in linear time, the first image measure indicative of each element'"'"'s uniqueness in the image on a per element basis;
calculating, by the processor using a second Gaussian filter, a second image measure in linear time, the second image measure indicative of each element'"'"'s spatial distribution in the image on a per element basis; and
providing, by the processor, a per element saliency measure by combining the first image measure and the second image measure.
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Abstract
Methods and apparatus for visual saliency estimation for images and video are described. In an embodiment, a process includes decomposing, by a processor, an image into elements, wherein each element includes at least one pixel. The processor then calculates a first image measure indicative of each element'"'"'s uniqueness in the image on a per element basis, and a second image measure indicative of each element'"'"'s spatial distribution in the image on a per element basis. A per element saliency measure is provided by combining the first image measure and the second image measure, or by utilizing the first image measure, or by utilizing the second image measure.
123 Citations
14 Claims
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1. A method, comprising:
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decomposing, by a processor, an image into elements, wherein each element comprises at least one pixel; calculating, by the processor using a first Gaussian filter, a first image measure in linear time, the first image measure indicative of each element'"'"'s uniqueness in the image on a per element basis; calculating, by the processor using a second Gaussian filter, a second image measure in linear time, the second image measure indicative of each element'"'"'s spatial distribution in the image on a per element basis; and providing, by the processor, a per element saliency measure by combining the first image measure and the second image measure. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer-readable medium storing instructions configured to cause a processor to:
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decompose an image into elements, wherein each element comprises at least one pixel; calculate using a first Gaussian filter, a first image measure in linear time, the first image measure indicative of each element'"'"'s uniqueness in the image on a per element basis; calculate, by using a second Gaussian filter, a second image measure in linear time, the second image measure indicative of each element'"'"'s spatial distribution in the image on a per element basis; and provide a per element saliency measure by combining the first image measure and the second image measure. - View Dependent Claims (9, 10, 11, 12, 13)
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14. An apparatus, comprising:
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a processor; a communication device operably connected to the processor; and a storage device operably connected to the storage device, the storage device storing non-transitory instructions configured to cause the processor to; decompose an image into elements, wherein each element comprises at least one pixel; calculate using a first Gaussian filter, a first image measure in linear time, the first image measure indicative of each element'"'"'s uniqueness in the image on a per element basis; calculate, by using a second Gaussian filter, a second image measure indicative of each element'"'"'s spatial distribution in the image on a per element basis; and provide a per element saliency measure by combining the first image measure and the second image measure.
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Specification