抄録
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.
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キーワード
- data protection
- face recognition
- facial expression preserving privacy protection
- facial regions
- image melding-based method
- image quality degradation
- social networking services
- visual privacy protection
- Avatars
- Face recognition
- Facial features
- Image recognition
- Privacy
- Target recognition
- Visualization
- Visual privacy protection
- facial expression
- image context
詳細情報 詳細情報について
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- CRID
- 1050295834376281216
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- NII論文ID
- 120006659632
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- HANDLE
- 10061/11258
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- 本文言語コード
- en
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- 資料種別
- conference paper
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- データソース種別
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- IRDB
- CiNii Articles