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OPTIMAL IMAGE TRANSFORMATION BASED ON PROFESSIONALISM SCORE OF SUBJECT
OPTIMAL IMAGE TRANSFORMATION BASED ON PROFESSIONALISM SCORE OF SUBJECT
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机译:基于专业分数的最优图像变换
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摘要
In an example embodiment, an image transformation is automatically performed on a digital image to improve perceived professionalism of a subject of the image. A machine learning algorithm is utilized to generate a professionalism score for the digital image, the utilizing a machine learning algorithm comprising: a training mode where a plurality of sample images with labeled professionalism scores are used to train a classification function in a model that produces as professionalism score as output; an analysis mode where the model is used to generate a professionalism score for the digital image. Then the professionalism score is used as an input to a continuous variable optimization algorithm to determine an optimum version of the digital image from a plurality of possible versions of the digital image on which one or more image transformations have been performed, using the classification function.
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