A B S T R A C T
In this paper, we present a passive approach for effective detection and localization of
region-level forgery from video sequences possibly with camera motion. As most digital
image/video capture devices do not have modules for embedding watermark or signature,
passive forgery detection which aims to detect the traces of tampering without embedded
information has become the major focus of recent research. However, most of current
passive approaches either work only for frame-level detection and cannot localize regionlevel
forgery, or suffer from high false detection rates for localization of tampered regions.
In this paper, we investigate two common region-level inpainting methods for object
removal, temporal copy-and-paste and exemplar-based texture synthesis, and propose a
new approach based on spatio-temporal coherence analysis for detection and localization
of tampered regions. Our approach can handle camera motion and multiple object
removal. Experiments show that our approach outperforms previous approaches, and can
effectively detect and localize regions tampered by temporal copy-and-paste and texture
synthesis.
ª 2014 Elsevier Ltd. All rights reserved.
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کد محصول : شماره 11
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