Robust information hiding in low-resolution videos with quantization index modulation in DCT-CS domain

Zhao, Huimin and Dai, Qingyun and Ren, J. C. and Wei, Wenguo and Xiao, Yinyin and Li, Chunying (2017) Robust information hiding in low-resolution videos with quantization index modulation in DCT-CS domain. Multimedia Tools and Applications. pp. 1-21. ISSN 1380-7501 (https://doi.org/10.1007/s11042-017-5223-7)

[thumbnail of Zhao-etal-MTA-2017-Robust-information-hiding-in-low-resolution-videos-with-quantization]
Preview
Text. Filename: Zhao_etal_MTA_2017_Robust_information_hiding_in_low_resolution_videos_with_quantization.pdf
Accepted Author Manuscript

Download (2MB)| Preview

Abstract

Video information hiding and transmission over noisy channels leads to errors on video and degradation of the visual quality notably. In this paper, a video signal fusion scheme is proposed to combine sensed host signal and the hidden signal with quantization index modulation (QIM) technology in the compressive sensing (CS) and discrete cosine transform (DCT) domain. With quantization based signal fusion, a realistic solution is provided to the receiver, which can improve the reconstruction video quality without requiring significant extra channel resource. The extensive experiments have shown that the proposed scheme can effectively achieve the better trade-off between robustness and statistical invisibility for video information hiding communication. This will be extremely important for low-resolution video analytics and protection in big data era.

ORCID iDs

Zhao, Huimin, Dai, Qingyun, Ren, J. C. ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Wei, Wenguo, Xiao, Yinyin and Li, Chunying;