Abstract
In this paper, we proposed an adaptive video steganography algorithm based on intra-prediction mode. Unlike traditional approaches locating the embedding position referring to the changed mode selection of I4-blocks which are randomly distributed across the whole I frame, our approach applies modifications in an adaptive way. Inspired by Fridrich et al.’s STC, costs assignment of candidate blocks are introduced to perform adaptive embedding perturbations within the optimal cost area which has the characteristic of complex texture. The perturbations are optimized with the hope that these perturbations will be confused with normal mode assignments that cannot be detected by state-of-art steganalytic methods. Experimental results have validated the feasibility of the proposed method.
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Acknowledgement
This work was supported by the NSFC under 61303259 and U1536105, National Key Technology R&D Program under 2014BAH41B01, Strategic Priority Research Program of CAS under XDA06030600, and Key Project of Institute of Information Engineering, CAS, under Y5Z0131201.
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Zhang, L., Zhao, X. (2017). An Adaptive Video Steganography Based on Intra-prediction Mode and Cost Assignment. In: Shi, Y., Kim, H., Perez-Gonzalez, F., Liu, F. (eds) Digital Forensics and Watermarking. IWDW 2016. Lecture Notes in Computer Science(), vol 10082. Springer, Cham. https://doi.org/10.1007/978-3-319-53465-7_39
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DOI: https://doi.org/10.1007/978-3-319-53465-7_39
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