Browsing by Author "Sun, Zongji"

Now showing items 1-6 of 6

    • Distinguishable de-identified faces 

      Sun, Zongji; Meng, Li; Ariyaeeinia, A. (Institute of Electrical and Electronics Engineers (IEEE), 2015-05)
      The k-anonymity approach adopted by k-Same face de-identification methods enables these methods to serve their purpose of privacy protection. However, it also forces every k original faces to share the same de-identified ...

    • An Efficient Approach to De-Identifying Faces in Videos 

      Meng, Li; Sun, Zongji; Collado , Odette Tejada (2017-12-01)
      This study presents a novel approach that extends face de-identification from person-specific (closed) sets of facial images to open sets of video frames. Inspired by the previous work in facial expression transfer, the ...

    • Face De-Identification for Privacy Protection 

      Sun, Zongji (2019-02-07)
      The ability to record, store and analyse images of faces economically, rapidly and on a vast scale brings people’s attention to privacy. The current privacy protection approaches for face images are mainly through masking, ...

    • Face De-Identification with Perfect Privacy Protection 

      Meng, Li; Sun, Zongji (2014-05-26)
      The rising concern for privacy protection and the associated legal and social responsibilities have led to extensive research into the field of face de-identification over the last decade. To date, the most successful ...

    • Privacy Protection Performance of De-identified Face Images with and without Background 

      Sun, Zongji; Meng, Li; Ariyaeeinia, Aladdin; Duan, Xiaodong; Tan, Zheng-Hua (Institute of Electrical and Electronics Engineers (IEEE), 2016-05-31)
      This paper presents an approach to blending a de-identified face region with its original background, for the purpose of completing the process of face de-identification. The re-identification risk of the de-identified ...

    • Retaining Expressions on De-identified Faces 

      Meng, Li; Sun, Zongji; Ariyaeeinia, A.; Bennett, Ken L. (2014-05-26)
      The extensive use of video surveillance along with advances in face recognition has ignited concerns about the privacy of the people identifiable in recorded documents. Prior research into face de-identification algorithms ...