Low-cost and high-efficiency privacy-protection scheme for distributed compressive video sensing in wireless multimedia sensor networks

Abstract

As a new video coding technology, distributed compressive video sensing (DCVS) uses compressed sensing (CS) independent encoding and joint decoding. Since DCVS breaks through the constraint of traditional video coding, it is suitable for resource-constrained wireless multimedia sensor networks (WMSNs). However, two major issues related to DCVS in WMSNs need to be solved urgently: one is to balance the storage burden of encoder and recovery quality of decoder; the other is to provide privacy-protection for video coding and transmission. We intend to break out of the existing limitations and design a new scheme which can simultaneously ensure privacy protection and high-efficiency coding for DCVS in WMSNs. Firstly, the two-pattern adaptive group of pictures selection is adopted to distinguish key frames and non-key frames. Secondly, the deterministic binary block diagonal measurement matrix is optimized to reduce sampling complexity. Thirdly, the scrambling-substitution-diffusion encryption method is proposed to resist various typical or potential attacks. Numerous experiments demonstrate that our scheme can not only perform valid and high-efficiency video coding, but also meet the demands of real-time and secure data transmission in WMSNs.