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Edge Computing and Communication Systems for Video Analytics Applications

November 14, 2022 @ 8:00 am - 9:00 am

There are an increasing number of video analytics applications, such as metaverse games, auto-driving, etc. As a way to support these applications, much attention is being paid to edge-cloud video analytics systems. The standard pipeline is one in which the edge captures video contents; conducts preprocessing and sends intermediate results to the cloud to complete the analytics tasks. There are diverse requirements from applications, such as latency, privacy, etc., as well as diverse constraints from the resources in computing and communication. These make edge-cloud video analytics system designs challenging. In this talk, we will discuss issues related to edge-cloud video analytics system designs. In particular, we study edge-side acceleration using new hardware and the designs on resource-efficient privacy-preserving systems. We also present experiences in broadening the impact of research results into industry projects.

Co-sponsored by: New Jersey Institute of Technology

Speaker(s): Dr. Dan Wang,

Agenda:
There are an increasing number of video analytics applications, such as metaverse games, auto-driving, etc. As a way to support these applications, much attention is being paid to edge-cloud video analytics systems. The standard pipeline is one in which the edge captures video contents; conducts preprocessing and sends intermediate results to the cloud to complete the analytics tasks. There are diverse requirements from applications, such as latency, privacy, etc., as well as diverse constraints from the resources in computing and communication. These make edge-cloud video analytics system designs challenging. In this talk, we will discuss issues related to edge-cloud video analytics system designs. In particular, we study edge-side acceleration using new hardware and the designs on resource-efficient privacy-preserving systems. We also present experiences in broadening the impact of research results into industry projects.

Room: GITC 4402, Bldg: GITC 4402, 218 Central Avenue Newark, NJIT, Newark, New Jersey, United States, 07102

Details

Date:
November 14, 2022
Time:
8:00 am - 9:00 am
Event Category:
Website:
https://events.vtools.ieee.org/m/330949

Organizer

fang_luo@stonybrook_edu
Email
fang_luo@stonybrook_edu
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