Skip to main navigation
Skip to search
Skip to main content
University of Hertfordshire (Research Profiles) Home
Home
Profiles
Research output
Projects
Research units
Search by expertise, name or affiliation
An Efficient Approach to De-Identifying Faces in Videos
Li Meng
, Zongji Sun
, Odette Tejada Collado
Centre for Engineering Research
Communications and Intelligent Systems
School of Physics, Engineering & Computer Science
Department of Engineering and Technology
Networks and Security Research Centre
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Citations (Scopus)
135
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An Efficient Approach to De-Identifying Faces in Videos'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Closed Set
25%
De-identification
25%
De-identified
25%
Dynamic Facial Expressions
25%
Face De-identification
25%
Facial Expression Transfer
25%
Facial Image
25%
High Standards
25%
Identity Consistency
25%
Identity Shift
50%
MATLAB Implementation
25%
New Identity
25%
Person-specific
25%
Privacy Protection
25%
Privacy-preserving
25%
Video Frames
100%
Video Sequences
25%
Computer Science
Experimental Result
50%
Facial Expression
100%
facial image
50%
Privacy Preservation
50%
Privacy Protection
50%
Video Sequences
50%
Video Standard
50%