Abstract: Computational photography is a combination and revolution of traditional signal/image processing, computer vision, optics, and computer graphics. By re-designing the camera, we can put more information into a photo, or extract more content from it. This new concept not only facilitates the processing, it also overturns many assumptions in computer vision. In this talk, I will focus on the light field analysis, a fundamental 4D representation of visual data. We will discuss how to interpret the "taking-a-picture" operation as a 4D signal transformation, and show how to capture this 4D signal and its application in computational photography. We will also briefly review several computational photography applications developed by the speaker and other researchers in this talk, including image deblurring/denoising, mobile panoramic imaging, and mobile image editing. Bio: Chia-Kai Liang received the B.S. degree in Electrical Engineering and Ph.D. degree in Communication Engineering in 2004 and 2009 respectively, both from National Taiwan University, Taipei, Taiwan. From 2006 to 2007, he was a VLSI design engineer at Avisonic Corp. In 2009, he was a research intern in Nokia research center, Palo Alto. His current research interests are image processing, computer vision, computational photography, and multimedia hardware architecture. He received IEEE CSVT Transactions Best Paper Award in 2008. His PhDdissertation won the IPPR Best Dissertation Award, NTU GICE Best Dissertation Award, and IICM Best Dissertation Award in 2009. He is a member of Phi-Tau-Phi and a student member of IEEE and ACM SIGGRAPH.