Title
Efficient approach to de-identifying faces in videos.
Abstract
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 authors have introduced an `identity shift' to ensure identity consistency within a de-identified video sequence. The `identity shift' is derived from the first video frame of a pe...
Year
DOI
Venue
2017
10.1049/iet-spr.2016.0761
IET Signal Processing
Keywords
Field
DocType
emotion recognition,face recognition,image sequences
Facial recognition system,Mathematical optimization,Image processing,Information privacy,Multimedia,Mathematics,Creative commons,License
Journal
Volume
Issue
ISSN
11
9
1751-9675
Citations 
PageRank 
References 
3
0.42
19
Authors
3
Name
Order
Citations
PageRank
Li Meng1273.48
Zongji Sun2171.77
Odette Tejada Collado330.42