Institute of Information Science, Academia Sinica

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Cloud computing for analyzing many data streams

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Cloud computing for analyzing many data streams

  • LecturerProf. Yung-Hsiang Lu (School of Electrical and Computer Engineering and (by courtesy) the Department of Computer Science of Purdue University)
    Host: Mark Liao
  • Time2014-12-10 (Wed.) 10:30 ~ 12:00
  • LocationAuditorium 106 at new IIS Building
Abstract

Many cameras have been deployed for various purposes, such as monitoring traffic, watching natural scenes, and observing weather. In many cases, the video streams are not analyzed by computers and simply discarded. Analyzing videos requires significant amounts of computing resources and cloud computing may meet this need. This project aims to develop a cloud-based software infrastructure for analyzing video streams. This infrastructure manages the cloud resources and meets the performance requirements of the analysis programs. The requirements are affected by many factors, including the videos' frame rates, resolutions, scene contents, as well as the types and the numbers of cloud virtual machines. Through this software infrastructure, analysis programs can process many images or videos simultaneously.

BIO

Yung-Hsiang Lu is an associate professor in the School of Electrical and Computer Engineering and (by courtesy) the Department of Computer Science of Purdue University. He is an ACM distinguished scientist (2013) and ACM distinguished speaker (2013–2016). His research areas include computer systems, mobile computing, and image processing.

He is an organizing member of the IEEE Rebooting Computing Working Group.  He obtained the Ph.D. from the Department of Electrical Engineering at Stanford University.