Blind Video Tamper Detection Based on Fusion of Source Features

Julian Goodwin, Girija Chetty

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

12 Citations (Scopus)

Abstract

In this paper, we propose novel algorithmic models based on information fusion and feature transformation in cross-modal subspace for different types of residue features extracted from several intra-frame 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 publicationProceedings Digital Image Computing Techniques and Applications 2011
EditorsAndrew Bradley, Paul Jackaway, Murk Bottema
Place of PublicationNew Jersey
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages608-613
Number of pages6
ISBN (Electronic)9780769545882
ISBN (Print)9781457720062
DOIs
Publication statusPublished - 6 Dec 2011
Event2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011 - Noosa, Noosa, Australia
Duration: 6 Dec 20118 Dec 2011

Conference

Conference2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011
CountryAustralia
CityNoosa
Period6/12/118/12/11

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Cite this

Goodwin, J., & Chetty, G. (2011). Blind Video Tamper Detection Based on Fusion of Source Features. In A. Bradley, P. Jackaway, & M. Bottema (Eds.), Proceedings Digital Image Computing Techniques and Applications 2011 (pp. 608-613). New Jersey: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2011.108
Goodwin, Julian ; Chetty, Girija. / Blind Video Tamper Detection Based on Fusion of Source Features. Proceedings Digital Image Computing Techniques and Applications 2011. editor / Andrew Bradley ; Paul Jackaway ; Murk Bottema. New Jersey : IEEE, Institute of Electrical and Electronics Engineers, 2011. pp. 608-613
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Goodwin, J & Chetty, G 2011, Blind Video Tamper Detection Based on Fusion of Source Features. in A Bradley, P Jackaway & M Bottema (eds), Proceedings Digital Image Computing Techniques and Applications 2011. IEEE, Institute of Electrical and Electronics Engineers, New Jersey, pp. 608-613, 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011, Noosa, Australia, 6/12/11. https://doi.org/10.1109/DICTA.2011.108

Blind Video Tamper Detection Based on Fusion of Source Features. / Goodwin, Julian; Chetty, Girija.

Proceedings Digital Image Computing Techniques and Applications 2011. ed. / Andrew Bradley; Paul Jackaway; Murk Bottema. New Jersey : IEEE, Institute of Electrical and Electronics Engineers, 2011. p. 608-613.

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

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Goodwin J, Chetty G. Blind Video Tamper Detection Based on Fusion of Source Features. In Bradley A, Jackaway P, Bottema M, editors, Proceedings Digital Image Computing Techniques and Applications 2011. New Jersey: IEEE, Institute of Electrical and Electronics Engineers. 2011. p. 608-613 https://doi.org/10.1109/DICTA.2011.108