Contrast-based image attention analysis framework
First Claim
Patent Images
1. A method for modeling image attention, the method comprising:
- preprocessing an image to generate a quantized set of image blocks; and
generating a contrast-based saliency map for modeling one-to-three levels of image attention from the quantized image blocks.
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Abstract
Systems and methods for image attention analysis are described. In one aspect, image attention is modeled by preprocessing an image to generate a quantized set of image blocks. A contrast-based saliency map for modeling one-to-three levels of image attention is then generated from the quantized image blocks.
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Citations
26 Claims
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1. A method for modeling image attention, the method comprising:
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preprocessing an image to generate a quantized set of image blocks; and
generating a contrast-based saliency map for modeling one-to-three levels of image attention from the quantized image blocks. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer-readable medium comprising computer-program instructions executable by a processor for:
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preprocessing an image to generate a quantized set of image blocks; and
generating a contrast-based saliency map for three-level contrast-based image attention analysis from the quantized image blocks.
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8. A computer-readable medium comprising computer-program instructions for modeling image attention, the computer-program instructions being executable by a processor for modeling image attention by:
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generating a preprocessed image by;
resizing the image such that an aspect ratio of the image is maintained; and
if the image is not already in a color space that is consistent with human perception, transforming the image from a first color space to a second color space that is consistent with human perception;
quantizing the preprocessed image to generate quantized image perception units such that color in texture areas across the quantized image perception units are coarser and normalized as compared to the image; and
generating a contrast-based saliency map from the quantized image blocks, the contrast-based saliency map comprising a respective contrast of color components for each perception unit. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A computing device for modeling image attention, the computing device comprising a processor coupled to a memory, the memory comprising computer computer-program instructions executable by the processor for:
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quantizing a preprocessed image to generate quantized image perception units such that color in texture areas across the quantized image perception units are coarser and normalized as compared to the image, the preprocessed image being a resized version of the image with an original aspect ratio and in a color space consistent with human perception; and
generating a contrast-based saliency map from the quantized image blocks, the contrast-based saliency map comprising a respective contrast of color components for each perception unit. - View Dependent Claims (19, 20, 21)
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22. A computing device comprising:
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means for preprocessing an image to generate a quantized set of image blocks; and
means for generating a contrast-based saliency map for modeling three-levels of image attentions from the quantized image blocks. - View Dependent Claims (23, 24, 25, 26)
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Specification