Blind image tamper detection based on multimodal fusion

Girija Chetty, Monica Singh, Matthew White

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

In this paper, we propose a novel feature processing approach based on fusion of noise and quantization residue features for detecting tampering or forgery in video sequences. The evaluation of proposed residue features – the noise residue features and the quantization features, their transformation in optimal feature subspace based on fisher linear discriminant features and canonical correlation analysis features, and their subsequent fusion for emulated copy-move tamper scenarios shows a significant improvement in tamper detection accuracy.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science: Neural Information Processing: Models and Application: 17th International Conference, ICONIP 2010 Sydney, Australia, November 22-25, 2010 Proceedings Part II
EditorsKok Wai Wong, B. Sumudu U Mendis, Abdesselam Bouzerdoum
Place of PublicationBerlin, Germany
PublisherSpringer
Pages557-564
Number of pages8
DOIs
Publication statusPublished - 2010
EventICONIP 2010 - 17th International Conference on Neural Information Processing - Sydney, Australia
Duration: 22 Nov 201025 Nov 2010

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume6444

Conference

ConferenceICONIP 2010 - 17th International Conference on Neural Information Processing
CountryAustralia
CitySydney
Period22/11/1025/11/10

Fingerprint

Fusion reactions
Processing

Cite this

Chetty, G., Singh, M., & White, M. (2010). Blind image tamper detection based on multimodal fusion. In K. W. Wong, B. S. U. Mendis, & A. Bouzerdoum (Eds.), Lecture Notes in Computer Science: Neural Information Processing: Models and Application: 17th International Conference, ICONIP 2010 Sydney, Australia, November 22-25, 2010 Proceedings Part II (pp. 557-564). (Lecture Notes in Computer Science ; Vol. 6444). Berlin, Germany: Springer. https://doi.org/10.1007/978-3-642-17534-3_69
Chetty, Girija ; Singh, Monica ; White, Matthew. / Blind image tamper detection based on multimodal fusion. Lecture Notes in Computer Science: Neural Information Processing: Models and Application: 17th International Conference, ICONIP 2010 Sydney, Australia, November 22-25, 2010 Proceedings Part II. editor / Kok Wai Wong ; B. Sumudu U Mendis ; Abdesselam Bouzerdoum. Berlin, Germany : Springer, 2010. pp. 557-564 (Lecture Notes in Computer Science ).
@inproceedings{11d246adae7c4d73af4d6fa1fee28d66,
title = "Blind image tamper detection based on multimodal fusion",
abstract = "In this paper, we propose a novel feature processing approach based on fusion of noise and quantization residue features for detecting tampering or forgery in video sequences. The evaluation of proposed residue features – the noise residue features and the quantization features, their transformation in optimal feature subspace based on fisher linear discriminant features and canonical correlation analysis features, and their subsequent fusion for emulated copy-move tamper scenarios shows a significant improvement in tamper detection accuracy.",
author = "Girija Chetty and Monica Singh and Matthew White",
year = "2010",
doi = "10.1007/978-3-642-17534-3_69",
language = "English",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "557--564",
editor = "Wong, {Kok Wai} and Mendis, {B. Sumudu U} and Abdesselam Bouzerdoum",
booktitle = "Lecture Notes in Computer Science: Neural Information Processing: Models and Application: 17th International Conference, ICONIP 2010 Sydney, Australia, November 22-25, 2010 Proceedings Part II",
address = "Netherlands",

}

Chetty, G, Singh, M & White, M 2010, Blind image tamper detection based on multimodal fusion. in KW Wong, BSU Mendis & A Bouzerdoum (eds), Lecture Notes in Computer Science: Neural Information Processing: Models and Application: 17th International Conference, ICONIP 2010 Sydney, Australia, November 22-25, 2010 Proceedings Part II. Lecture Notes in Computer Science , vol. 6444, Springer, Berlin, Germany, pp. 557-564, ICONIP 2010 - 17th International Conference on Neural Information Processing, Sydney, Australia, 22/11/10. https://doi.org/10.1007/978-3-642-17534-3_69

Blind image tamper detection based on multimodal fusion. / Chetty, Girija; Singh, Monica; White, Matthew.

Lecture Notes in Computer Science: Neural Information Processing: Models and Application: 17th International Conference, ICONIP 2010 Sydney, Australia, November 22-25, 2010 Proceedings Part II. ed. / Kok Wai Wong; B. Sumudu U Mendis; Abdesselam Bouzerdoum. Berlin, Germany : Springer, 2010. p. 557-564 (Lecture Notes in Computer Science ; Vol. 6444).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Blind image tamper detection based on multimodal fusion

AU - Chetty, Girija

AU - Singh, Monica

AU - White, Matthew

PY - 2010

Y1 - 2010

N2 - In this paper, we propose a novel feature processing approach based on fusion of noise and quantization residue features for detecting tampering or forgery in video sequences. The evaluation of proposed residue features – the noise residue features and the quantization features, their transformation in optimal feature subspace based on fisher linear discriminant features and canonical correlation analysis features, and their subsequent fusion for emulated copy-move tamper scenarios shows a significant improvement in tamper detection accuracy.

AB - In this paper, we propose a novel feature processing approach based on fusion of noise and quantization residue features for detecting tampering or forgery in video sequences. The evaluation of proposed residue features – the noise residue features and the quantization features, their transformation in optimal feature subspace based on fisher linear discriminant features and canonical correlation analysis features, and their subsequent fusion for emulated copy-move tamper scenarios shows a significant improvement in tamper detection accuracy.

U2 - 10.1007/978-3-642-17534-3_69

DO - 10.1007/978-3-642-17534-3_69

M3 - Conference contribution

T3 - Lecture Notes in Computer Science

SP - 557

EP - 564

BT - Lecture Notes in Computer Science: Neural Information Processing: Models and Application: 17th International Conference, ICONIP 2010 Sydney, Australia, November 22-25, 2010 Proceedings Part II

A2 - Wong, Kok Wai

A2 - Mendis, B. Sumudu U

A2 - Bouzerdoum, Abdesselam

PB - Springer

CY - Berlin, Germany

ER -

Chetty G, Singh M, White M. Blind image tamper detection based on multimodal fusion. In Wong KW, Mendis BSU, Bouzerdoum A, editors, Lecture Notes in Computer Science: Neural Information Processing: Models and Application: 17th International Conference, ICONIP 2010 Sydney, Australia, November 22-25, 2010 Proceedings Part II. Berlin, Germany: Springer. 2010. p. 557-564. (Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-642-17534-3_69