Abstract
| Original language | English |
|---|---|
| Title of host publication | Advanced Concepts for Intelligent Vision Systems: 12th International Conference, ACIVS 2010 Sydney, Australia, December 13-16, 2010 Proceedings, Part II |
| Editors | Jacques Blanc-Talon, Don Bone, Wilfred Philips, Dan Popescu, Paul Scheunders |
| Place of Publication | Berlin, Germany |
| Publisher | Springer Verlag |
| Pages | 79-87 |
| Number of pages | 9 |
| Volume | 6475 |
| ISBN (Print) | 9783642176906 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | ACIVS 2010: 12th International Conference Advanced Concepts for Intelligent Vision Systems - Sydney, Australia Duration: 13 Dec 2010 → 16 Dec 2010 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| Volume | 6475 |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | ACIVS 2010: 12th International Conference Advanced Concepts for Intelligent Vision Systems |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 13/12/10 → 16/12/10 |
Fingerprint
Cite this
}
Digital image tamper detection based on multimodal fusion of residue features. / Chetty, Girija; Goodwin, Julian; Singh, Monica.
Advanced Concepts for Intelligent Vision Systems: 12th International Conference, ACIVS 2010 Sydney, Australia, December 13-16, 2010 Proceedings, Part II. ed. / Jacques Blanc-Talon; Don Bone; Wilfred Philips; Dan Popescu; Paul Scheunders. Vol. 6475 Berlin, Germany : Springer Verlag, 2010. p. 79-87 (Lecture Notes in Computer Science; Vol. 6475).Research output: A Conference proceeding or a Chapter in Book › Conference contribution
TY - GEN
T1 - Digital image tamper detection based on multimodal fusion of residue features
AU - Chetty, Girija
AU - Goodwin, Julian
AU - Singh, Monica
PY - 2010
Y1 - 2010
N2 - In this paper, we propose a novel formulation involving fusion of noise and quantization residue features for detecting tampering or forgery in video sequences. We reiterate the importance of feature selection techniques in conjunction with fusion to enhance the tamper detection accuracy. We examine three different feature selection techniques, the independent component analysis (ICA), fisher linear discriminant analysis (FLD) and canonical correlation analysis (CCA) for achieving a more discriminate subspace for extracting tamper signatures from quantization and noise residue features. The evaluation of proposed residue features, the feature selection techniques and their subsequent fusion for copy-move tampering emulated on low bandwidth Internet video sequences, show a significant improvement in tamper detection accuracy with fusion formulation.
AB - In this paper, we propose a novel formulation involving fusion of noise and quantization residue features for detecting tampering or forgery in video sequences. We reiterate the importance of feature selection techniques in conjunction with fusion to enhance the tamper detection accuracy. We examine three different feature selection techniques, the independent component analysis (ICA), fisher linear discriminant analysis (FLD) and canonical correlation analysis (CCA) for achieving a more discriminate subspace for extracting tamper signatures from quantization and noise residue features. The evaluation of proposed residue features, the feature selection techniques and their subsequent fusion for copy-move tampering emulated on low bandwidth Internet video sequences, show a significant improvement in tamper detection accuracy with fusion formulation.
U2 - 10.1007/978-3-642-17691-3_8
DO - 10.1007/978-3-642-17691-3_8
M3 - Conference contribution
SN - 9783642176906
VL - 6475
T3 - Lecture Notes in Computer Science
SP - 79
EP - 87
BT - Advanced Concepts for Intelligent Vision Systems: 12th International Conference, ACIVS 2010 Sydney, Australia, December 13-16, 2010 Proceedings, Part II
A2 - Blanc-Talon, Jacques
A2 - Bone, Don
A2 - Philips, Wilfred
A2 - Popescu, Dan
A2 - Scheunders, Paul
PB - Springer Verlag
CY - Berlin, Germany
ER -