Automatic hair color de-identification
| Title | Automatic hair color de-identification |
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | Prinosil, J., Krupka, A., Riha, K., Dutta, M. K., Singh, A. |
| Conference Name | 2015 International Conference on Green Computing and Internet of Things (ICGCIoT) |
| Keywords | automatic hair color deidentification method, basic hair color recognition, data privacy, de-identification, Face, Facial features, Hair, Hair Color, Image color analysis, image colour analysis, image hair area segmentation, image recognition, image segmentation, multimedia content, primary biometric trait, privacy, privacy protection, pubcrawl170113, real-looking deidentified image, Segmentation, Skin, video record |
| Abstract | A process of de-identification used for privacy protection in multimedia content should be applied not only for primary biometric traits (face, voice) but for soft biometric traits as well. This paper deals with a proposal of the automatic hair color de-identification method working with video records. The method involves image hair area segmentation, basic hair color recognition, and modification of hair color for real-looking de-identified images. |
| DOI | 10.1109/ICGCIoT.2015.7380559 |
| Citation Key | prinosil_automatic_2015 |
- image recognition
- video record
- Skin
- Segmentation
- real-looking deidentified image
- pubcrawl170113
- privacy protection
- privacy
- primary biometric trait
- multimedia content
- image segmentation
- automatic hair color deidentification method
- image hair area segmentation
- image colour analysis
- Image color analysis
- Hair Color
- Hair
- Facial features
- Face
- de-identification
- data privacy
- basic hair color recognition