Efficient Framework for Video Communication in IoT Applications

This paper is mainly concerned with video watermarking as a tool to secure the video transmission process over wireless channels. In addition, the relatability of the communication process is guaranteed through a hybrid error control scheme. The watermarking depends on applying a hybrid structure of Block-based Singular Value Decomposition (B-SVD) and SVD schemes. The rationale behind the utilization of SVD for video watermarking is the fact that singular values of a frame are not severely affected by noise or disturbance induced on that frame. The error control is performed with an efficient hybrid post-processing scheme, which comprises Spatial Circular-Scan Order Interpolation Algorithm (CSOIA), temporal Partitioning Motion Compensation Algorithm (PMCA) and Bayesian Kalman Filter (BKF). In the proposed framework, cornea and infrared frames are watermarked using two stages of SVD watermarking. The watermarking scheme includes embedding and extraction stages. Two watermark images are embedded in the cornea and infrared frames in the embedding stage using the hybrid structure of B-SVD and SVD schemes. Next, the watermarked cornea or infrared frames are transmitted through the erroneous wireless channel. The received corrupted cornea or infrared frames are recovered using the proposed post-processing error control schemes. Finally, the inverse process of hybrid SVD and B-SVD is employed in the watermark extraction stage. Simulation results for several cornea and infrared frames show that the proposed framework has extremely adequate subjective and objective video quality metrics compared to the traditional methods. In addition, the watermark robustness, security, and detectability are enhanced. Moreover, the experimental results clarify that the proposed watermarking scheme is superior and more secure than the other previous schemes for embedding and extracting watermarks efficiently in the presence of attacks.