Prof Yung-Hsiang Lu Distinguished Visitor Seminar (Virtual) - World-Wide Camera Networks
Computer Society Distinguished Visitor Professor Yung-Hsiang Lu
Abstract: More than 80% consumer Internet traffic is for videos and most of them are recorded videos. Meanwhile, many organizations (such as national parks, vacation resorts, departments of transportation) provide real-time visual data (images or videos). These videos allow Internet users to observe events remotely. This speech explains how to discover real-time visual data on the Internet. The discovery process uses a crawler to reach many web pages. The information on these web pages are analyzed to identify candidates of real-time data. The data is downloaded multiple times over an extended time period; changes are detected to determine whether it is likely to provide real-time data. The data can be used during an emergency. For example, viewers may check whether a street is flooded and cannot pass. It is also possible using the data to observe long-term trends, such as how people react to movement restrictions during the COVID pandemic.
Bio: Yung-Hsiang Lu is a professor of Electrical and Computer Engineering at Purdue University. He is a University Faculty Scholar of Purdue University. He is a fellow of the IEEE (Institute of Electrical and Electronics Engineers), distinguished visitor of the Computer Society, distinguished scientist and distinguished speaker of the ACM (Association for Computing Machinery). Dr. Lu is the inaugural director of Purdue’s John Martinson Engineering Entrepreneurial Center (2020-2022). In 2019, he received Outstanding VIP-Based Entrepreneur Award from the VIP (Vertically Integrated Projects) Consortium. His research areas include computer vision, embedded systems, cloud and mobile computing. Dr. Lu has advised 400 undergraduate students in research projects and taught more than 5,000 students in classrooms. He has advised multiple student teams winning business plan competitions; two teams of students started technology companies and raised more than $1.5M.
Date and Time
Location
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Registration
- Date: 29 Mar 2024
- Time: 06:00 PM to 07:30 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Starts 28 February 2024 04:00 PM
- Ends 29 March 2024 05:30 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Prof. Yung-hsiang Lu of School of Electrical and Computer Engineering of Purdue University
World-Wide Camera Networks
More than 80% consumer Internet traffic is for videos and most of them are recorded videos. Meanwhile, many organizations (such as national parks, vacation resorts, departments of transportation) provide real-time visual data (images or videos). These videos allow Internet users to observe events remotely. This speech explains how to discover real-time visual data on the Internet. The discovery process uses a crawler to reach many web pages. The information on these web pages are analyzed to identify candidates of real-time data. The data is downloaded multiple times over an extended time period; changes are detected to determine whether it is likely to provide real-time data. The data can be used during an emergency. For example, viewers may check whether a street is flooded and cannot pass. It is also possible using the data to observe long-term trends, such as how people react to movement restrictions during the COVID pandemic.
Biography:
Yung-Hsiang Lu is a professor at the Elmore Family School of Electrical and Computer Engineering of Purdue University. He is a fellow of the IEEE (2021), ACM Distinguished Scientist (2013), and ACM Distinguished Speaker (2013). In 2015-2019, he was a co-founder and adviser of a technology startup that received SBIR-1 and SBIR-2 (Small Business Innovation Research). In 2020-2022, he was the director of the John Martinson Engineering Entrepreneurial Center at Purdue University. His research topics include efficient computer vision for embedded systems, cloud and mobile computing. He leads a research project analyzing real-time video streams from thousands of network cameras. He is the lead organizer of the IEEE Low-Power Computer Vision Challenge since 2015. He has published two books: Intermediate C Programming (ISBN 9781498711630) and Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence (editor, ISBN 9780367744700).
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Agenda
Welcome Remark - Dr. Ping-Tsai Chung
Presentation - Prof. Yung-Hsiang Lu, School of Electrical and Computer Engineering of Purdue University
Q/A.
Computer Society Distinguished Visitor Professor Yung-Hsiang Lu