The innovations in the field of sensor technology and the advent of Internet of Things entails
increased application of Wireless Visual Sensor Networks (WVSNs) in various sensing and …

With the rapid popularization of mobile intelligent terminals, mobile video and cloud services
applications are widely used in people's lives. However, the resource-constrained …

A camera captures multidimensional information of the real world by convolving it into two
dimensions using a sensing matrix. The original multidimensional information is then …

Compressive sensing (CS)-based image coding scheme has been enthusiastically studied,
but it still has a poor rate-distortion performance compared with the traditional image coding …

Distributed compressive video sensing (DCVS) has great potential for signal acquisition and
processing in source-limited communication, eg, wireless video sensors networks, because …

In this paper, we propose a method for joint compression and encryption of video using
parallel compressive sensing (PCS) and improved chaotic maps. The method is shown to be …

In wireless sensor networks (WSNs), a lot of edge devices facilitate the low-latency image
communication. However, with limited processing, storage, and energy capabilities, these …

Recently, deep learning-based compressed sensing (CS) has achieved great success in
reducing the sampling and computational cost of sensing systems and improving the …

Existing multi-hypothesis (MH) prediction algorithms in compressed video sensing (CVS)
are all deployed in measurement domain, which restricts the flexibility of block partitioning in …

Huge video data has posed great challenges on computing power and storage space,
triggering the emergence of distributed compressive video sensing (DCVS). Hardware …