Blind and passive digital video tamper detection based on multimodal fusion

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

5 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 languageEnglish
Title of host publication14th WSEAS International Conference on Communications
EditorsNikos E. Mastorakis, Mladenov Mladenov, Bojkovic Bojkovic
Place of PublicationGreece
PublisherWorld Scientific and Engineering Academy and Society Press (WSEAS)
Pages109-117
Number of pages9
ISBN (Print)9789604742004
Publication statusPublished - 2010
Event14th WSEAS International Conference on Communications - Corfu Island, Greece
Duration: 23 Jul 201025 Jul 2010

Conference

Conference14th WSEAS International Conference on Communications
CountryGreece
CityCorfu Island
Period23/07/1025/07/10

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Chetty, G. (2010). Blind and passive digital video tamper detection based on multimodal fusion. In N. E. Mastorakis, M. Mladenov, & B. Bojkovic (Eds.), 14th WSEAS International Conference on Communications (pp. 109-117). Greece: World Scientific and Engineering Academy and Society Press (WSEAS).
Chetty, Girija. / Blind and passive digital video tamper detection based on multimodal fusion. 14th WSEAS International Conference on Communications. editor / Nikos E. Mastorakis ; Mladenov Mladenov ; Bojkovic Bojkovic. Greece : World Scientific and Engineering Academy and Society Press (WSEAS), 2010. pp. 109-117
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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.",
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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 BookConference contribution

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A2 - Bojkovic, Bojkovic

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Chetty G. Blind and passive digital video tamper detection based on multimodal fusion. In Mastorakis NE, Mladenov M, Bojkovic B, editors, 14th WSEAS International Conference on Communications. Greece: World Scientific and Engineering Academy and Society Press (WSEAS). 2010. p. 109-117