University of Hertfordshire

By the same authors

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Privacy Protection Performance of De-identified Face Images with and without Background. / Sun, Zongji; Meng, Li; Ariyaeeinia, Aladdin; Duan, Xiaodong; Tan, Zheng-Hua.

39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016. Croatia : IEEE, 2016. p. 1354.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

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. IEEE, Croatia , pp. 1354, The 39th International ICT Convention - MIPRO 2016, Opatija, Croatia, 30/05/16. https://doi.org/10.1109/MIPRO.2016.7522350

APA

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 (pp. 1354). Croatia : IEEE. https://doi.org/10.1109/MIPRO.2016.7522350

Vancouver

Sun Z, Meng L, Ariyaeeinia A, Duan X, Tan Z-H. Privacy Protection Performance of De-identified Face Images with and without Background. In 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016. Croatia : IEEE. 2016. p. 1354 https://doi.org/10.1109/MIPRO.2016.7522350

Author

Sun, Zongji ; Meng, Li ; Ariyaeeinia, Aladdin ; Duan, Xiaodong ; Tan, Zheng-Hua. / Privacy Protection Performance of De-identified Face Images with and without Background. 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016. Croatia : IEEE, 2016. pp. 1354

Bibtex

@inproceedings{a5a33f58256b407984acdc08d6242ca8,
title = "Privacy Protection Performance of De-identified Face Images with and without Background",
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.",
author = "Zongji Sun and Li Meng and Aladdin Ariyaeeinia and Xiaodong Duan and Zheng-Hua Tan",
note = "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.",
year = "2016",
month = "5",
day = "31",
doi = "10.1109/MIPRO.2016.7522350",
language = "English",
isbn = "978-953-233-088-5",
pages = "1354",
booktitle = "39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Privacy Protection Performance of De-identified Face Images with and without Background

AU - Sun, Zongji

AU - Meng, Li

AU - Ariyaeeinia, Aladdin

AU - Duan, Xiaodong

AU - Tan, Zheng-Hua

N1 - 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.

PY - 2016/5/31

Y1 - 2016/5/31

N2 - 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.

AB - 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.

U2 - 10.1109/MIPRO.2016.7522350

DO - 10.1109/MIPRO.2016.7522350

M3 - Conference contribution

SN - 978-953-233-088-5

SP - 1354

BT - 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016

PB - IEEE

CY - Croatia

ER -