Visual surveillance systems have been playing a vital role in human modern life with a large number of applications, ranging from remote home management, public security to traffic monitoring. The recent High Efficiency Video Coding (HEVC) scalable extension, namely SHVC, provides not only the compression efficiency but also the adaptive streaming capability. However, SHVC is originally designed for videos captured from generic scenes rather than from visual surveillance systems. In this paper, we propose a novel HEVC based surveillance scalable video coding (SSVC) framework. First, to achieve high quality inter prediction, we propose a long-term reference coding method, which adaptively exploits the temporal correlation among frames in surveillance video. Second, to optimize the SSVC compression performance, we design a quantization parameter adaptation mechanism in which the relationship between SSVC ratedistortion (RD) performance and the quantization parameter is statistically modeled by a fourthorder polynomial function. Afterwards, an appropriate quantization parameter is derived for frames at long-term reference position. Experiments conducted for a common set of surveillance videos have shown that the proposed SSVC significantly outperforms the relevant SHVC standard, notably by around 6.9% and 12.6% bitrate saving for the low delay (LD) and random access (RA) coding configurations, respectively while still providing a similar perceptual decoded frame quality.

中文翻译：

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基于HEVC的可扩展视频编码的自适应量化参数估计。

视觉监控系统在人类现代生活中起着至关重要的作用，其应用范围广泛，从远程家庭管理，公共安全到交通监控。最近的高效视频编码（HEVC）可伸缩扩展，即SHVC，不仅提供了压缩效率，而且还提供了自适应流功能。但是，SHVC最初是为从通用场景而不是从视觉监视系统捕获的视频而设计的。在本文中，我们提出了一种基于HEVC的新型监视可扩展视频编码（SSVC）框架。首先，为了实现高质量的帧间预测，我们提出了一种长期参考编码方法，该方法可以自适应地利用监控视频中帧之间的时间相关性。其次，要优化SSVC压缩性能，我们设计了一种量化参数自适应机制，其中SSVC额定失真（RD）性能与量化参数之间的关系通过四阶多项式函数进行统计建模。然后，为长期参考位置处的帧导出适当的量化参数。针对一组通用监控视频进行的实验表明，拟议的SSVC明显优于相关的SHVC标准，特别是在低延迟（LD）和随机访问（RA）编码配置下，分别节省了6.9％和12.6％的比特率，而仍提供类似的感知解码帧质量。然后，为长期参考位置处的帧导出适当的量化参数。针对一组通用监控视频进行的实验表明，拟议的SSVC明显优于相关的SHVC标准，特别是在低延迟（LD）和随机访问（RA）编码配置下，分别节省了6.9％和12.6％的比特率，而仍提供类似的感知解码帧质量。然后，为长期参考位置处的帧导出适当的量化参数。针对一组通用监控视频进行的实验表明，拟议的SSVC明显优于相关的SHVC标准，特别是在低延迟（LD）和随机访问（RA）编码配置下，分别节省了6.9％和12.6％的比特率，而仍然提供类似的感知解码帧质量。