Abstract
The distributed compressive video sensing (DCVS) system combines the advantages of compressed sensing (CS) and distributed video coding (DVC), suitable for the limited-resource video sensing and transmission environment. In this paper, we propose a comprehensive high performance DCVS system. First, we introduce the BM3D-AMP algorithm reconstruct key (K) frames. Second, we propose a new high efficiency video coding (HEVC) motion estimation (ME) algorithm with motion vector (MV) prediction method. By integrating the segmentation idea and motion estimation, this algorithm can gets more accurate side information (SI). Finally, we propose the l 1 - l 1 minimization model to achieve non-key (NK) frames joint high-quality reconstruction. We utilize the alternating direction method of multipliers (ADMM) algorithm to solve it. With the idea of dividing and conquering, the general problem is decomposed into several smaller pieces. Experimental results demonstrate that the proposed system has significant improvement over its counterparts.
Highlights
With the development of Internet of Multimedia Things (IoMT) and unmanned aerial vehicle (UAV) technology, how to transmit a large number of video signals quickly and safely has become a research hotspot
We propose the new high efficiency video coding (HEVC)-motion estimation (ME) algorithm with motion vector (MV) prediction method to improve the accuracy of side information
Based on 1 − 1 minimization, we propose a new NK frames reconstruction model, which realize the dynamic reliance on information
Summary
With the development of Internet of Multimedia Things (IoMT) and unmanned aerial vehicle (UAV) technology, how to transmit a large number of video signals quickly and safely has become a research hotspot. In these cases, the video channel conditions are asymmetrical and resource environments are constrained. The traditional video coding technology is not suitable for these applications, and it is necessary to seek for a new coding compression method. In order to further improve the rate distortion (RD) performance and coding efficiency in DVC, a new decoder is proposed in [5]. The decoder can recursively carry out the decoding process on the augmented factor graph, and in each frame, the recursive message passing algorithm is used for decoding the bit-planes
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