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- W2544655012 abstract "An ideal authentication approach should be able to tolerate preserving operations (e.g. compression and rotation) robustly, while detecting altering (e.g. object removing and replacement) modifications sensitively. Although the numerous existing algorithms can detect and locate malicious alterations to the protected image, unfortunately, most are still too fragile to resist various content-preserving manipulations for enhancing the sensitivity to content tampers. We propose a structural content abstraction scheme within the Bayesian framework, based on which an implicit and reliable image authentication scheme can be established. Since BSCA provides a trustworthy reference which correlates highly with the content, the proposed authentication method possesses both robustness to non-content operations (NCO) and sensitivity to content operations (CO). Experimental results also demonstrate that the new scheme satisfies this criterion well." @default.
- W2544655012 created "2016-11-04" @default.
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- W2544655012 date "2005-01-31" @default.
- W2544655012 modified "2023-09-28" @default.
- W2544655012 title "Bayesian structural content abstraction for image authentication" @default.
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- W2544655012 doi "https://doi.org/10.1109/icmlc.2004.1384538" @default.
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