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.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.