Title: Video Compressive Sensing
Speaker: Prof. Larry Carin (Duke University)
Date: Monday, 22 April 2013
Abstract: A Gaussian mixture model (GMM) based algorithm is pro- posed for video reconstruction from temporally-compressed video
measurements. The GMM is used to model spatio-temporal video patches, and the reconstruction can be efficiently computed based on analytic expressions. The GMM-based inversion method benefits from online adaptive learning and parallel computation. We demonstrate the efficacy of the proposed inversion method with videos reconstructed from simulated compressive video measurements, and from a real compressive video camera. We also use the GMM as a tool to investigate adaptive video compressive sensing, i.e., adaptive rate of temporal compression.
About the Speaker: Prof. Carin is the Chair of the EE Dept at Duke University. In the past several years he has led a group at Duke which has carried out pioneering work in signal processing and analysis, especially in the area of compressive sensing and its applications to sensor design.
video and editing by me.
Slides posted to http://wdjoyner.org/video/carin/, by permission.
#carinsurance #quotes #AutoInsurance #CARS #Trucks #insurance #insurancequotes
#vehicleinsurance #Auto #Vehicle