Hybrid Data Selection With Context and Content Features for Visual Crowdsensing

Hybrid Data Selection With Context and Content Features for Visual Crowdsensing

Visual crowdsensing (VCS) is becoming predominant in mobile crowdsensing, but there still exist various unique challenges, including large sizes of visual data, multidimensional requirements, and intensive processing demands. As a key research problem in VCS, data selection filters out redundant dat...

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Bibliographic Details
Main Author: Wei Song
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Mobile crowdsensing
visual crowdsensing
edge computing
data selection
hierarchical clustering
maximum coverage problem
Online Access:https://ieeexplore.ieee.org/document/9931534/

Internet

https://ieeexplore.ieee.org/document/9931534/

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