Paper Info
Title
Crowdsourcing Based Event Reporting System Using Smartphones with Accurate Localization and Photo Tamper Detection
Abstract
Crowdsourcing provides a novel and efficient paradigm to leverage numerous smartphone users to report timely information (time, location, photo, etc.) about events, enabling various urban sensing applications such as environment monitoring and public space management. Localization and photographing are two of the most important function modules in crowdsourcing based event reporting systems, which are used to tell people where and what events happen. However, the existing systems tend to localize the user instead of the event, resulting in the poor accuracy. Meanwhile, the existing event localization approaches need either complex user operation or complex computation process. For this reason, we propose a simple, effective, and light-weight approach for event localization. On the other hand, the existing systems cannot guarantee the photo authenticity, as the emerging various image editing and processing softwares have made the (malicious) photo tampering easier and easier. Accordingly, we design a novel smartphone-based photo tamper detection approach with high security. Detailed system implementation and performance evaluation are provided to verify the effectiveness of our proposed approaches.
Year
DOI
Venue
2015
10.1007/978-3-319-22047-5_12
Lecture Notes in Computer Science
Keywords
Field
DocType
Mobile crowdsourcing,Event reporting system,Event localization,Photo tamper detection
Data mining,Sensing applications,Public space,Crowdsourcing,Computer science,Image editing,Implementation,Computation
Conference
Volume
ISSN
Citations 
9196
0302-9743
3
PageRank 
References 
Authors
0.72
12
5
Name
Order
Citations
PageRank
Tong Qin130.72
Huadong Ma22020179.93
Dong Zhao335429.82
Tianyuan Li430.72
Jianwei Chen5265.19