Title
Rotation-Tolerant Camera Identification Using Optimal Tradeoff Circular Harmonic Function Correlation Filter
Abstract
In this paper, we propose a novel camera identification method based on photo-response non-uniformity (PRNU), which performs well even with rotated videos. One of the disadvantages of the PRNU-based camera identification methods is that they are very sensitive to de-synchronization. If a video under investigation is slightly rotated, the identification process without synchronization fails. The proposed method solves this kind of out-of-sync problem, by achieving rotation-tolerance using Optimal Tradeoff Circular Harmonic Function (OTCHF) correlation filter. The experimental results show that the proposed method identifies source device with high accuracy from rotated videos.
Year
DOI
Venue
2013
10.1587/transinf.E96.D.1394
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
camera identification, PRNU, circular harmonic function, optimal trade-off filter, correlation filter
Computer vision,Correlation filter,Harmonic function,Root-raised-cosine filter,Computer science,Camera identification,Kernel adaptive filter,Artificial intelligence
Journal
Volume
Issue
ISSN
E96D
6
0916-8532
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Dai-Kyung Hyun162.58
Dae-Jin Jung232.08
Hae-Yeoun Lee328723.04
Heung-kyu Lee4101687.53