Blind semi-fragile watermarking scheme for video authentication in video surveillance context

Abstract

With the development of advanced multimedia editing tools, numerous unauthorized manipulations are easily doable to surveillance systems video files. Thus, video tamper detection is revealed as a big challenge for multimedia security field researchers. Indeed, we propose herein a singular value decomposition (SVD) and discrete wavelet transform (DWT) based semi fragile watermarking scheme for video content authentication. A content-based authentication signature is firstly generated by extracting reliable features from regions of interest. QR code generation technique as well as Arnold transform are used to boost the security aspect of the watermark. This latter is efficiently hidden in the wavelet middle frequency sub bands through an additive embedding algorithm and then extracted via a blind detection method. Simulation results demonstrate that the proposed scheme jointly achieves a good perceptual quality and a high watermark capacity. In addition, it is capable of distinguishing intentional attacks from incidental modifications. Indeed, the proposed watermarking scheme is very fragile to malicious tampering while allowing non-malicious processing.