From HD Encoder to Ultra HD Computer Vision Processor for Edge AI Applications

The Low power computer vision processor has found its wide applications such as robotics, sports camera, cell phone, flying camera and automotive camera for ADAS and autonomous driving applications. To achieve a computer vision processor with high quality, ultra HD definition image processing and encoding, it is critical to consider various design parameters such as features, complexity, die size, power while maintaining maximal flexibility for the system designers to innovate and customize for product differentiation. We will discuss the market opportunities and key technical differentiations in designing a cost-effective edge computer vision multimedia processor for mobile and low power applications.

Biography:

Tihao Chiang received the Ph.D. degree from Columbia University in 1995. In 1995-1999, he was a program manager at David Sarnoff Research Center (formerly RCA laboratory). In 1999-2008, he was an associate professor at National Chiao-Tung University in Taiwan, R.O.C. He is now with the Ambarella Taiwan Ltd. Dr. Chiang is currently a Fellow of IEEE and holder of over 50 US and worldwide patents. He published over 100 technical journal and conference papers in the field of video and signal processing.