I want to build a neural network, but because I have high resolution pictures, I rejected the idea of passing the entire image to the NN.
I was wondering what are the most common extracted features for use as input to the NN.
I know that features depends on the kind of images. But I guess I'm wondering what are the standard features. I'd also like to know about papers or books with information and/or examples about this topic.