Blind and passive digital video tamper detection based on multimodal fusion

Girija Chetty

Blind and passive digital video tamper detection based on multimodal fusion

Girija Chetty

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

In this paper, we propose novel algorithmic models based on feature transformation in cross-modal subspace and their multimodal fusion for different types of residue features extracted from several intraframe and inter-frame pixel sub-blocks in video sequences for detecting digital video tampering or forgery. An evaluation of proposed residue features - the noise residue features and the quantization features, their transformation in cross-modal subspace, and their multimodal fusion, for emulated copy-move tamper scenario shows a significant improvement in tamper detection accuracy as compared to single mode features without transformation in cross-modal subspace.

Original language	English
Title of host publication	14th WSEAS International Conference on Communications
Editors	Nikos E. Mastorakis, Mladenov Mladenov, Bojkovic Bojkovic
Place of Publication	Greece
Publisher	World Scientific and Engineering Academy and Society Press (WSEAS)
Pages	109-117
Number of pages	9
ISBN (Print)	9789604742004
Publication status	Published - 2010
Event	14th WSEAS International Conference on Communications - Corfu Island, Greece Duration: 23 Jul 2010 → 25 Jul 2010

Conference

Conference	14th WSEAS International Conference on Communications
Country/Territory	Greece
City	Corfu Island
Period	23/07/10 → 25/07/10

Cite this

@inproceedings{5c77460f393148aea0a376a66a2169bb,

title = "Blind and passive digital video tamper detection based on multimodal fusion",

abstract = "In this paper, we propose novel algorithmic models based on feature transformation in cross-modal subspace and their multimodal fusion for different types of residue features extracted from several intraframe and inter-frame pixel sub-blocks in video sequences for detecting digital video tampering or forgery. An evaluation of proposed residue features - the noise residue features and the quantization features, their transformation in cross-modal subspace, and their multimodal fusion, for emulated copy-move tamper scenario shows a significant improvement in tamper detection accuracy as compared to single mode features without transformation in cross-modal subspace.",

author = "Girija Chetty",

year = "2010",

language = "English",

isbn = "9789604742004",

pages = "109--117",

editor = "Mastorakis, {Nikos E.} and Mladenov Mladenov and Bojkovic Bojkovic",

booktitle = "14th WSEAS International Conference on Communications",

publisher = "World Scientific and Engineering Academy and Society Press (WSEAS)",

note = "14th WSEAS International Conference on Communications ; Conference date: 23-07-2010 Through 25-07-2010",

}

Chetty, G 2010, Blind and passive digital video tamper detection based on multimodal fusion. in NE Mastorakis, M Mladenov & B Bojkovic (eds), 14th WSEAS International Conference on Communications. World Scientific and Engineering Academy and Society Press (WSEAS), Greece, pp. 109-117, 14th WSEAS International Conference on Communications, Corfu Island, Greece, 23/07/10.

Blind and passive digital video tamper detection based on multimodal fusion. / Chetty, Girija.
14th WSEAS International Conference on Communications. ed. / Nikos E. Mastorakis; Mladenov Mladenov; Bojkovic Bojkovic. Greece: World Scientific and Engineering Academy and Society Press (WSEAS), 2010. p. 109-117.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Blind and passive digital video tamper detection based on multimodal fusion

AU - Chetty, Girija

PY - 2010

Y1 - 2010

N2 - In this paper, we propose novel algorithmic models based on feature transformation in cross-modal subspace and their multimodal fusion for different types of residue features extracted from several intraframe and inter-frame pixel sub-blocks in video sequences for detecting digital video tampering or forgery. An evaluation of proposed residue features - the noise residue features and the quantization features, their transformation in cross-modal subspace, and their multimodal fusion, for emulated copy-move tamper scenario shows a significant improvement in tamper detection accuracy as compared to single mode features without transformation in cross-modal subspace.

AB - In this paper, we propose novel algorithmic models based on feature transformation in cross-modal subspace and their multimodal fusion for different types of residue features extracted from several intraframe and inter-frame pixel sub-blocks in video sequences for detecting digital video tampering or forgery. An evaluation of proposed residue features - the noise residue features and the quantization features, their transformation in cross-modal subspace, and their multimodal fusion, for emulated copy-move tamper scenario shows a significant improvement in tamper detection accuracy as compared to single mode features without transformation in cross-modal subspace.

M3 - Conference contribution

SN - 9789604742004

SP - 109

EP - 117

BT - 14th WSEAS International Conference on Communications

A2 - Mastorakis, Nikos E.

A2 - Mladenov, Mladenov

A2 - Bojkovic, Bojkovic

PB - World Scientific and Engineering Academy and Society Press (WSEAS)

CY - Greece

T2 - 14th WSEAS International Conference on Communications

Y2 - 23 July 2010 through 25 July 2010

ER -

Blind and passive digital video tamper detection based on multimodal fusion

Abstract

Conference

Fingerprint

Cite this