This publication describes an image-capture manager, which uses machine-learning algorithms modeled after neural networks to predict image-capture device settings that a user desires when capturing an image with an image-capture device. Based on training neural network models, the image-capture manager can dynamically predict and configure the image-capture device settings to match those that the user desires the image-capture device to use when capturing an image under detected conditions.
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Carbune, Victor; Keysers, Daniel; and Deselaers, Thomas, "Predicted Image-Capture Device Settings through Machine Learning", Technical Disclosure Commons, (March 22, 2019)