dc.contributor.author | Sun, Zongji | |
dc.contributor.author | Meng, Li | |
dc.contributor.author | Ariyaeeinia, Aladdin | |
dc.contributor.author | Duan, Xiaodong | |
dc.contributor.author | Tan, Zheng-Hua | |
dc.date.accessioned | 2018-07-31T11:16:30Z | |
dc.date.available | 2018-07-31T11:16:30Z | |
dc.date.issued | 2016-05-31 | |
dc.identifier.citation | Sun , Z , Meng , L , Ariyaeeinia , A , Duan , X & Tan , Z-H 2016 , Privacy Protection Performance of De-identified Face Images with and without Background . in 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016 . Institute of Electrical and Electronics Engineers (IEEE) , Croatia , pp. 1354 , The 39th International ICT Convention - MIPRO 2016 , Opatija , Croatia , 30/05/16 . https://doi.org/10.1109/MIPRO.2016.7522350 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 978-953-233-088-5 | |
dc.identifier.uri | http://hdl.handle.net/2299/20286 | |
dc.description | Li Meng, 'Privacy Protection Performance of De-identified Face Images with and without Background', paper presented at the 39th International Information and Communication Technology (ICT) Convention. Grand Hotel Adriatic Congress Centre and Admiral Hotel, Opatija, Croatia, May 30 - June 3, 2016. | |
dc.description.abstract | 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 FERET face images has been evaluated for the k-Diff-furthest face de-identification method, using several face recognition benchmark methods including PCA, LBP, HOG and LPQ. The experimental results show that the k-Diff-furthest face de-identification delivers high privacy protection within the face region while blending the de-identified face region with its original background may significantly increases the re-identification risk, indicating that de-identification must also be applied to image areas beyond the face region. | en |
dc.format.extent | 1359 | |
dc.format.extent | 719118 | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016 | |
dc.title | Privacy Protection Performance of De-identified Face Images with and without Background | en |
dc.contributor.institution | School of Engineering and Technology | |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Digital Media Processing and Biometrics | |
dc.contributor.institution | Smart Electronics Devices and Networks | |
rioxxterms.versionofrecord | 10.1109/MIPRO.2016.7522350 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |