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An efficient coding scheme for surveillance videos based on high efficiency video coding

机译:基于高效视频编码的监控视频高效编码方案

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As the latest coding standard, High Efficiency Video Coding (HEVC) has an obvious advantage in coding efficiency. Compared to H.264 Advanced Video Coding (H.264/AVC), HEVC can achieve about 50% bitrate reduction at the same subjective video quality. However, the enhancement in compression efficiency has been achieved at the cost of large increase in computational complexity. In this paper, to reduce the computational complexity, we propose a new coding scheme for surveillance videos using inter-frame difference to encode different image areas with different encoder options. The scheme is implemented through the proposed fast Coding Unit (CU) size decision algorithm. With using the luma component of difference image, the proposed algorithm can segment out moving objects from background, and then select proper CU size for different areas. Experimental results show that the encoding complexity can be reduced by an average of 45% with small increment in bitrate and negligible loss in Peak Signal to Noise Ratio (PSNR) compared to the High efficiency video coding test Model (HM) 9.2 reference software. Furthermore, the proposed scheme is not only applied to surveillance videos recorded by static cameras, but also applied to regular videos with excellent coding performance.
机译:作为最新的编码标准,高效视频编码(HEVC)在编码效率方面具有明显的优势。与H.264高级视频编码(H.264 / AVC)相比,HEVC在相同的主观视频质量下可以实现约50%的比特率降低。但是,已经以大大增加计算复杂度为代价实现了压缩效率的提高。在本文中,为了降低计算复杂度,我们提出了一种新的监视视频编码方案,该方案使用帧间差异对具有不同编码器选项的不同图像区域进行编码。该方案是通过提出的快速编码单元(CU)大小决定算法实现的。利用差分图像的亮度分量,该算法可以从背景中分割出运动物体,然后为不同区域选择合适的CU尺寸。实验结果表明,与高效视频编码测试模型(HM)9.2参考软件相比,编码复杂度平均降低了45%,比特率增加很小,峰值信噪比(PSNR)损失可忽略不计。此外,提出的方案不仅适用于静态摄像机录制的监控视频,还适用于编码性能优异的普通视频。

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