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Tuesday, July 9 • 11:50am - 12:05pm
Navigating the Visual Fog: Analyzing and Managing Visual Data from Edge to Cloud

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Visual data produced at the edge is rich with information, opening a world of analytics opportunities for applications to explore. However, the demanding requirements of visual data on computational resources and bandwidth have hindered effective processing, preventing the data from being used in an economically efficient manner. In order to scale out visual analytics systems, it is necessary to have a framework that works collaboratively between edge and cloud. In this paper, we propose an end-to-end (E2E) visual fog architecture, designed for processing and management of visual data. Using our architecture to extract shopper insights, we are able to achieve application specified real time requirements for extracting and querying visual data, showing the feasibility of our design in a real-world setting. We also discuss the lessons we learned from deploying an edge-to-cloud architecture for video streaming applications.


Ragaad Altarawneh

Intel Labs, Intel Corporation

Christina Strong

Intel Labs, Intel Corporation

Luis Remis

Intel Labs, Intel Corporation

Pablo Munoz

Intel Labs, Intel Corporation

Addicam Sanjay

Internet of Things Group, Intel Corporation

Srikanth Kambhatla

System Software Products, Intel Corporation

Tuesday July 9, 2019 11:50am - 12:05pm PDT
HotEdge: Grand Ballroom VII–IX