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.

作为一种新的视频编码技术，分布式压缩视频感测（DCVS）使用独立于压缩感测（CS）的编码和联合解码。由于DCVS突破了传统视频编码的限制，因此适用于资源受限的无线多媒体传感器网络（WMSN）。然而，迫切需要解决WMSN中与DCVS相关的两个主要问题：一是平衡编码器的存储负担和解码器的恢复质量。另一个是为视频编码和传输提供隐私保护。我们打算打破现有的限制，并设计一种新的方案，该方案可以同时确保WMSN中DCVS的隐私保护和高效编码。首先，采用两模式自适应图像选择组来区分关键帧和非关键帧。其次，确定性二进制块对角线测量矩阵经过优化以降低采样复杂度。第三，提出了一种加扰替代扩散加密方法，以抵抗各种典型或潜在的攻击。大量实验表明，我们的方案不仅可以执行有效，高效的视频编码，而且可以满足WMSN中实时，安全的数据传输需求。