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Semantic segmentation is the task of labeling every pixel in an image with a predefined object category. It has numerous applications in scenarios where the detailed understanding of an image is required, such as in autonomous vehicles and medical diagnosis. This problem has traditionally been solved with probabilistic models known as conditional random fields (CRFs) due to their ability to model the relationships between the pixels being predicted.

Visual perception is one of our most essential and fundamental abilities that enables us to make sense of what our eyes see and interpret the world that surrounds us. It allows us to function and, thus, our civilization to survive. No sensory loss is more debilitating than blindness as we are, above all, visual beings.

Three new members-at-large will take their seats on the IEEE Signal Processing Society (SPS) Board of Governors (BoG) beginning 1 January 2018 and will serve until 31 December 2020. Nine candidates competed for the three member-at-large positions. The successful candidates represent a broad spectrum of the SPS. The successful candidates are: Shoji Makino, Athina P. Petropulu, Paris Smaragdis.

I am pleased to start my three-year term as editor-in-chief (EIC) of IEEE Signal Processing Magazine (SPM) as you read this first issue of the new year. Let me introduce myself. I started my career in signal processing at the University of Virginia. As I dreamt of becoming a patent attorney, I made my way through a B.S. degree in electrical engineering. However, while sitting in my  rst course on signal processing, I realized the magic of signals, systems, and transforms.

Since its inception in 1948, the IEEE Signal Processing Society (SPS) has evolved in pace with the many technological changes and advancements in our field. In its early days, our Society— the first and oldest among the IEEE’s Societies—was known as the Profes- sional Group on Audio of the Institute of Radio Engineers.