Reducing image resolution in deep convolutional networks
US-9786036-B2 · Oct 10, 2017 · US
US8929680B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8929680-B2 |
| Application number | US-201213706097-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 5, 2012 |
| Priority date | Dec 12, 2011 |
| Publication date | Jan 6, 2015 |
| Grant date | Jan 6, 2015 |
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A method of identifying a distracting element in an image (e.g., 1100 ), is disclosed. A visual attention map (e.g., 1120 ) is determined for the image ( 1100 ), the visual attention map ( 1120 ) representing one or more regions of the image, at least one of the regions corresponding to at least a portion of a subject of the image. A salient region map (e.g., 1110 ) is determined for the image ( 1100 ), the salient region map comprising a distribution of visual attraction values defining one or more further regions of the image ( 1100 ), the one or more further regions being categorized as salient. An intersection between the visual attention map ( 1120 ) and the salient region map ( 1110 ) is determined to identify a distracting element in the image ( 1100 ). The distracting element corresponds to at least one of the salient regions.
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The invention claimed is: 1. A method of identifying a distracting element in an image, said method comprising: determining a visual attention map for the image, said visual attention map representing one or more regions of the image, at least one of said regions corresponding to at least a portion of a subject of the image; determining a salient region map for the image, said salient region map comprising a distribution of visual attraction values defining one or more further r…
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