Seminar

 
Abstract:
The development of digital imaging technologies has enabled handheld video cameras to become popular. Nowadays, everyone can easily take high-quality video with high-resolution using consumer cameras. However, there is still a quality gap between consumer and professional devices. One of the main reasons for the deficit in visual quality is the camera motion generated by undesirable shaking in the user’s hand. Due to the camera motion, the recorded video becomes shaky. Moreover, if one is walking while shooting, the visual quality will significantly decrease. Hence, video stabilization, which alleviates undesirable camera motion, is one of the most important features in a camera.
In this talk, I will first explain the basic background for understanding the video stabilization algorithms. Then, various video stabilization techniques will be briefly introduced. However, since most existing algorithms require high computational cost, they cannot be applied to real-time applications like smart phone, digital cameras, and camcorders. Hence, I’ll also introduce the fast and efficient methods for real-time applications.
 
Speaker Bio:
Yun Gu Lee received his BS, MS, and PhD degrees in electrical engineering  from the Korea Advanced Institute of Science and Technology, Daejeon,
Republic of Korea, in 2000, 2002, and 2006, respectively. From 2006 to  2013, he was in the Media Processing Laboratory, DMC Research and
Development Center, Samsung Electronics, Republic of Korea, where he was a principal engineer. In 2013, he joined the Department of Computer Science  and Engineering, Kwangwoon University, Seoul, Republic of Korea, where he  is currently an assistant professor. His current research interests include the general areas of image and video coding, image and video processing, image stabilization, computer vision, and three-dimensional display systems.