Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Geotag Propagation in Social Networks Based on User Trust Model
 
research article

Geotag Propagation in Social Networks Based on User Trust Model

Ivanov, Ivan  
•
Vajda, Peter  
•
Lee, Jong-Seok  
Show more
2012
Multimedia Tools and Applications

In the past few years sharing photos within social networks has become very popular. In order to make these huge collections easier to explore, images are usually tagged with representative keywords such as persons, events, objects, and locations. In order to speed up the time consuming tag annotation process, tags can be propagated based on the similarity between image content and context. In this paper, we present a system for efficient geotag propagation based on a combination of object duplicate detection and user trust modeling. The geotags are propagated by training a graph based object model for each of the landmarks on a small tagged image set and finding its duplicates within a large untagged image set. Based on the established correspondences between these two image sets and the reliability of the user, tags are propagated from the tagged to the untagged images. The user trust modeling reduces the risk of propagating wrong tags caused by spamming or faulty annotation. The effectiveness of the proposed method is demonstrated through a set of experiments on an image database containing various landmarks.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1007/s11042-010-0570-7
Web of Science ID

WOS:000299127500008

Author(s)
Ivanov, Ivan  
Vajda, Peter  
Lee, Jong-Seok  
Goldmann, Lutz  
Ebrahimi, Touradj  
Date Issued

2012

Publisher

Springer

Published in
Multimedia Tools and Applications
Volume

56

Issue

1

Start page

155

End page

177

Subjects

tag propagation

•

social networks

•

object duplicate detection

•

geotags

•

user trust model

•

IPTC

Note

Special Issue on Social Mining and Search

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
GR-EB  
Available on Infoscience
June 23, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/50959
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés