From smartphones to wearable devices, from healthcare to finance, signal processing is much closer than you think. Basically, any information can be represented as a signal: speech, audio, image, video, text, stock or electricity prices, medical parameters or any other arbitrary data. The signal processing engineering, then, can be used for the extraction, interpretation and transformation of many different types of information. Signals are used to encode information in almost every imaginable domain.
Today, when we have long entered the era of artificial intelligence, computer vision (CV) could not stay aside from various techniques of machine learning (ML). Moreover, with a rapid progress of deep learning (DL) algorithms and, in particular, convolutional neural networks (CNNs), automatic analysis of visual information is reaching a new level.