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 …

Abstract Compressed Video Sensing (CVS) has great significance to the scenarios with a
resource-deprived video acquisition side. Reconstruction algorithm is the key technique in …

A multihypothesis-based residual reconstruction scheme (MHRR) is presented in
compressed video sensing (CVS). The residual is first predicted by a novel multihypothesis …

Multihypothesis-based compressed video sensing scheme attracts wide attention in the
research of resource-constrained video application scenarios. However, high-accuracy …

This paper proposes a novel framework of multi-hypothesis compressed video sensing.
Multi-hypothesis prediction and bi-directional motion estimation are applied to generate side …

Compressed Sensing, an emerging framework for signal processing, can be used in image
and video application, especially when available resources at the transmitter side are …

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

A novel adaptive multihypothesis (MH) prediction algorithm for distributed compressive
video sensing (DCVS) is proposed in this paper. In the proposed framework, consistent …

The compressed-sensing recovery of video sequences driven by multihypothesis
predictions is considered. Specifically, multihypothesis predictions of the current frame are …

In this paper, we present a compressive sampling and multihypothesis (MH) reconstruction
strategy for video sequences that has a rather simple encoder, while the decoding system is …