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A novel fusion method in distributed multi-view video coding over wireless video sensor network

机译:无线视频传感器网络上的分布式多视点视频编码融合新方法

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摘要

To meet the special requirements of resource-limited video sensors in wireless video sensor network (WVSN), low-complexity video encoding technique is highly desired. In distributed multi-view video coding (DMVC) system, multi-view video sources are encoded separately and decoded dependently, so the burden of huge computation is shifted from the encoder side to the decoder side. The generation of the side information (SI) is an important part in the design of a DMVC system as it directly relates to the system's performance. In this paper, a new fusion method combining the histogram matching and the minimum sum of the absolute differences (SAD) criterion is proposed to generate the final SI. The simulation results show that the proposed method generates more qualified SI and improves the peak signal to noise ratio (PSNR) performance at an average 1.6dB gain for reconstructed frame when compared to the traditional fusion methods in DMVC system.
机译:为了满足无线视频传感器网络(WVSN)中资源受限的视频传感器的特殊要求,非常需要低复杂度的视频编码技术。在分布式多视点视频编码(DMVC)系统中,多视点视频源是分别编码和独立解码的,因此庞大的计算负担从编码器侧转移到了解码器侧。辅助信息(SI)的生成是DMVC系统设计中的重要部分,因为它直接关系到系统的性能。本文提出了一种新的融合方法,将直方图匹配和绝对差的最小和(SAD)准则相结合,以生成最终的SI。仿真结果表明,与传统的DMVC融合方法相比,所提出的方法可以产生更高质量的SI,并以平均1.6dB的增益提高了重建帧的峰值信噪比(PSNR)性能。

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