System and method for automated detection and replacement of photographic scenes

A method of identifying a background type in a photograph, comprising:

• extracting a background image from a photograph;
• feeding the background image into a first convolution neural network by one or more computer processors to obtain a first decision;
• automatically extracting color features in the background image by the one or more computer processors;
• transforming the color features into a two-dimensional color feature matrix;
• feeding the two-dimensional color feature matrix into a second convolution neural network to obtain a second decision by the one or more computer processors;
• automatically extracting texture features in the background image;
• transforming the texture features into a two-dimensional texture feature matrix image by the one or more computer processors;
• feeding the two-dimensional texture feature matrix into a third convolution neural network to obtain a third decision by the one or more computer processors;
• computing a hybrid decision based on the first decision, the second decision, and the third decision;
• and
• identifying a background type in the background image based on the hybrid decision.