Cognitive-neural method for image analysis
First Claim
1. A cognitive-neural method for detecting and prioritizing items of interest in visual imagery, comprising an act of initializing one or more processors to perform operations of:
- detecting a set of potential items of interest in an image using a cognitive algorithm;
prioritizing the set of potential items of interest using neural analysis to produce a set of prioritized items of interest, whereby items of interest in the image are detected and prioritized; and
adapting the cognitive algorithm based on the prioritized items of interest from the neural analysis.
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Abstract
A self adapting cognitive-neural method and system for image analysis is disclosed. The method comprises detecting a set of potential items of interest in an image using a cognitive algorithm, refining the set of potential items of interest using a neural analysis, and adapting the cognitive algorithm based on information gained from the results of the neural analysis. The method may further comprise fusing the results of the cognitive and neural algorithms with a fusion classifier. The neural analysis can include eye tracked EEG, RSVP, or presentation to an operator for visual inspection.
29 Citations
27 Claims
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1. A cognitive-neural method for detecting and prioritizing items of interest in visual imagery, comprising an act of initializing one or more processors to perform operations of:
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detecting a set of potential items of interest in an image using a cognitive algorithm; prioritizing the set of potential items of interest using neural analysis to produce a set of prioritized items of interest, whereby items of interest in the image are detected and prioritized; and adapting the cognitive algorithm based on the prioritized items of interest from the neural analysis. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A data processing system for detecting and prioritizing items of interest in visual imagery comprising one or more processors configured to perform operations of:
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detecting a set of potential items of interest in an image by using a cognitive algorithm; prioritizing the set of potential items of interest using neural analysis to produce a set of prioritized items of interest, whereby items of interest in the image are detected and prioritized; and adapting the cognitive algorithm based on the prioritized items of interest from the neural analysis. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer program product for detecting and prioritizing items of interest in visual imagery, the computer program product comprising computer-readable instruction means stored on a computer-readable medium that are executable by a computer having a processor for causing the processor to perform operations of:
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detecting a set of potential items of interest in an image by using a cognitive algorithm; prioritizing the set of potential items of interest using neural analysis to produce a set of prioritized items of interest, whereby items of interest in the image are detected and prioritized; and adapting the cognitive algorithm based on the prioritized items of interest from the neural analysis. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27)
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Specification