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A fast source-oriented image clustering method for digital forensics
Chang Tsun Li, Xufeng Lin
Data Science and Engineering Research Unit
DaMRG - Data Mining Research Group
University of Warwick
Research output
:
Contribution to journal
›
Article
›
peer-review
25
Citations (Scopus)
25
Downloads (Pure)
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Dive into the research topics of 'A fast source-oriented image clustering method for digital forensics'. Together they form a unique fingerprint.
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Keyphrases
Clustering Methods
100%
Digital Forensics
100%
Image Clustering
100%
Sensor Pattern Noise
100%
Source-oriented
100%
Class Label
66%
Random Variables
66%
Clustering Algorithm
33%
Digital Camera
33%
Clustering Process
33%
Field Approach
33%
Cost Function
33%
Image Database
33%
Dresden
33%
Pair Correlation
33%
Markov Random Field
33%
Camera Fingerprint
33%
Source Camera
33%
Unknown Number
33%
Effective Cost
33%
Voting Power
33%
Computer Science
Digital Forensics
100%
Random Variable
100%
Clustering Method
100%
Image Database
50%
Digital Camera
50%
clustering process
50%
Clustering Algorithm
50%
Priori Knowledge
50%
Engineering
Noise Pattern
100%
Class Label
66%
Random Variable ξ
66%
Similarities
33%
Clustering Algorithm
33%
Random Field
33%
Priori Knowledge
33%
Comparative Experiment
33%
Cost Function
33%
Digital Camera
33%