Adapting image vectorization operations using machine learning
Abstract:
A content-creation computing system transforms an input raster graphic into a output vector graphic by applying a customization specific to visual characteristics of the input raster graphic. The content-creation computing system provides the input raster graphic to a customization-identification network having a multi-label classifier. The content-creation computing system generates, with the multi-label classifier, a first probability that a first customization operation is applicable to the input raster graphic and a second probability that a second customization operation is applicable to the input raster graphic, wherein the first probability is greater than the second probability. The content-creation computing system selects the first customization operation as the customization specific to the input raster graphic. The content-creation computing system executes a vectorization algorithm that performs the first customization operation using the input raster graphic as an input and displays or otherwise outputs a vector graphic generated by the vectorization algorithm.
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