Patent Document ID: 10134165
Application ID: 15597911

Base Claim:
1. In a digital medium environment for distractor removal in an image, a method implemented by at least one computing device, the method comprising: forming, by the at least one computing device, a plurality of segments from the image; calculating, by the at least one computing device, a score for each of the plurality of segments that is indicative of a relative likelihood that a respective said segment is considered a distractor within the image, the calculating based on at least one distractor model trained using machine learning; classifying, by the at least one computing device, the plurality of segments as comprising salient objects that are less likely to be considered important to a user and salient objects that are more likely to be considered important to the user based on the calculated scores for the respective segments; outputting, by the at least one computing device, the classifications for the plurality of segments; and performing, by the at least one computing device, a modification to at least one segment of the plurality of segments based on the classifications of the plurality of segments.

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Claim 2:
2. A method as described in claim 1 , wherein the performing comprises removal of a said salient object that is less likely to be considered important, desaturation of the said salient object that is less likely to be considered important, reduction in contrast of the said salient object that is less likely to be considered important, blurring of the said salient object that is less likely to be considered important, a color transfer of the said salient object that is less likely to be considered important, or retargeting the image such that the said salient object that is less likely to be considered important is no longer in the image.