Title :
Framework Based on Privacy Policy Hiding for Preventing Unauthorized Face Image Processing
Author :
Dabrowski, Adrian ; Weippl, Edgar R. ; Echizen, Isao
Author_Institution :
SBA Res., Univ. of Technol., Vienna, Austria
Abstract :
We put forward a framework to address a problem created by the rapidly spreading use of imaging devices and related to involuntarily or unintentionally photographed individuals: their pictures can accumulate additional meta information via face recognition systems and can be manually tagged via social networks and publishing platforms. With this framework a user can express his/her picture privacy policy in a machine readable format and (to some extent) automatically enforce it. An easily understandable flag system is used to define restrictions on picture usage and link ability. This policy is encoded in an unobtrusive way into wardrobe patterns and accessory designs with almost no impact on apparel appearance or social interaction.
Keywords :
data encapsulation; data privacy; face recognition; accessory designs; apparel appearance; face recognition systems; flag system; imaging devices; involuntarily photographed individual; link ability; machine readable format; manual tagging; picture privacy policy; picture usage; privacy policy hiding; publishing platforms; social interaction; social networks; unauthorized face image processing; unintentionally photographed individual; wardrobe patterns; Clothing; Decoding; Encoding; Face; Privacy; Publishing; Visualization; DRM; involuntary photographs; privacy invasion; unintentional photographs;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.83