YK of PRINCETON AI GROUP

AI has been used almost everywhere. Video analytics is the most commonly used AI. In the era of Internet of Video Things (IoVT), many cameras collect a massive amount of visual data to be analyzed by AI. While there are still challenges in the algorithms, especially after the systems are deployed, e.g., accuracy, energy efficiency, processing speed, we can further use AI to design efficient IoVT systems at the development time. This talk will discuss the following two topics:

1. Deployment-time AI for Image/Video Processors and Codec: Here, AI is utilized to perform specific system functions, such as video analysis and object detection/recognition, after the hardware system has been designed.
2. Development-time AI for Image/Video Processors and Codec: In this context, AI is employed to enhance the design. For example, EDA tools and compilers use AI to generate better designs. Given the numerous design trade-offs in image/video processing and compression, incorporating AI during the development phase (rather than relying solely on human-crafted heuristics) can result in more effective hardware system designs.

Biography:

Dr. Yen-Kuang Chen received his Ph.D. degree from Princeton University. His research areas span from emerging applications that can utilize the true potential of multimedia and Internet of Things (IoT) to computer architecture that can embrace emerging applications. He has 100+ patents and 100+ technical publications. He is one of the key contributors to Supplemental Streaming SIMD Extension 3 and Advanced Vector Extension in Intel microprocessors. He has given 5+ keynote speeches, e.g., AICAS 2021, and 10+ tutorials at IEEE International Conferences, e.g., VCIP 2012 & 2011, ISCAS 2012 & 2009, and ICME 2010 & 2007. He is recognized as an IEEE Fellow for his contributions to algorithm-architecture co-design for multimedia signal processing.