Deep in the wild

Abstract

In this chapter we are interested in how from high-resolution images and videos passing them through a Deep convolutional neural network we get reduced dimension which finally allows a classification decision. We are interested in two operations: convolution and pooling and trace analogy with these operations in a classical Image Processing framework.