期刊
IEEE ACCESS
卷 8, 期 -, 页码 31306-31316出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.2973392
关键词
Distributed compressive video sensing; side information; HEVC motion estimation; lx2081;-lx2081; minimization
资金
- National Natural Science Foundation of China [61871147, 61831008, 91638204]
- Shenzhen Municipal Science and Technology Plan [JCYJ20170811160142808, JCYJ20170811154309920, ZDSYS201707280903305]
- project The Verification Platform of Multi-Tier Coverage Communication Network for Oceans [PCL2018KP002]
- Guangdong Science and Technology Planning Project [2018B030322004]
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 $\ell _{1}-\ell _{1}$ 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.
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