Small Image Sensors and Big Visual Data

This talk will discuss small image sensor designs and big visual data parsing and their applications. We live in a technology world in which cameras are shrinking in size and photos and videos are exploding in quantity. My research has been dealing with technical challenges in both areas. I will show a single-chip design for compressive sensing of high-speed high-dynamic-range videos. The design has the benefit of achieving nearly 100% light throughput and uses reduced sampling rate to reduce power consumption. I will show how to enhance low light performance and remove hand shaking in video capture using a portable array of small cameras. I will show a nonparametric approach to the image parsing problem applied to street view images and face images; that is, classify each pixel into sky, road, building, eye brows, lips, etc, given an input image. I will show the potential applications of image parsing in touchpad-based face image retrieval and privacy protection in video surveillance.

Speaker Details

Li Zhang is an Assistant Professor in the Computer Sciences Department at the University of Wisconsin. His research area is computer vision and graphics. He received his B.E. in Automation at Tsinghua University, P. R. China, and his PhD in Computer Science and Engineering at the University of Washington. He spent two years as a postdoctoral research scientist at Columbia University. He joined the faculty at the University of Wisconsin in July 2007. He has received a NSF CAREER Award, a Sloan Research Fellowship, a Packard Fellowship for Science and Engineering.

Series:
Microsoft Research Talks
Date:
Speakers:
Li Zhang
Affiliation:
University of Wisconsin

Series: Microsoft Research Talks