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Facial expression preserving privacy protection using image melding
- Source :
- ICME
- Publication Year :
- 2015
- Publisher :
- IEEE, 2015.
-
Abstract
- An enormous number of images are currently shared through social networking services such as Facebook. These images usually contain appearance of people and may violate the people's privacy if they are published without permission from each person. To remedy this privacy concern, visual privacy protection, such as blurring, is applied to facial regions of people without permission. However, in addition to image quality degradation, this may spoil the context of the image: If some people are filtered while the others are not, missing facial expression makes comprehension of the image difficult. This paper proposes an image melding-based method that modifies facial regions in a visually unintrusive way with preserving facial expression. Our experimental results demonstrated that the proposed method can retain facial expression while protecting privacy.<br />ICME 2015 : IEEE International Conference on Multimedia and Expo , Jun 29-Jul 3, 2015 , Torino, Italy
- Subjects :
- Avatars
Facebook
image melding-based method
Computer science
Internet privacy
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Context (language use)
Permission
Facial recognition system
Image (mathematics)
Facial features
Target recognition
Data Protection Act 1998
Face recognition
facial expression
facial regions
Visualization
Facial expression
facial expression preserving privacy protection
data protection
business.industry
Image recognition
image quality degradation
image context
visual privacy protection
Privacy
social networking services
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- ICME
- Accession number :
- edsair.doi.dedup.....344b760c0fdd7e0c30650f21a12b1003