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User-perceived quality aware adaptive streaming of 3D multi-view video plus depth over the internet

机译：用户感知的质量感知的3D多视图视频自适应流以及Internet上的深度

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摘要

Video streaming is a foremost and growing contributor in the ever increasing Internet traffic. Since last two decades, due to the enhancement in cameras and image processing technology, we have seen a shift towards multi-view plus depth (MVD) technology from traditional 2D and 3D video technology. This growth comes with deep changes in the Internet bandwidth, video coding and network technologies, which smoothed the mode for delivery of MVD content to end-users over the Internet. Since, MVD contains large amounts of data than single view video, it requires more bandwidth. It is a challenging task for network service provider to deliver such views with the best user’s Quality of Experience(QoE) in dynamic network condition. Also, Internet is known to be prone to packet loss, bandwidth variation, delay and network congestion, which may prevent video packets from being delivered on time. Besides that, different capabilities of end user’s devices in terms of computing power, display, and access link capacity are other challenges. As consequences, the viewing experiences of 3D videos may well degrade, if the quality-aware adaptation techniques are not deployed. In this article, our work concentrates to present a comprehensive analysis of a dynamic network environment for streaming of 3D MVD over Internet (HTTP). We analyzed the effect of different adaptation of decision strategies and formulated a new quality-aware adaptation technique. The proposed technique is promoting from layer based video coding in terms of transmitted views scalability. The results of MVD streaming experiment, using the proposed approach have shown that the video quality of perceptual 3D improves significantly, as an effect of proposed quality aware adaptation even in adverse network conditions.
机译：在不断增长的Internet流量中，视频流是最重要且不断增长的贡献者。自过去的二十年以来，由于相机和图像处理技术的增强，我们已经看到从传统的2D和3D视频技术向多视图加深度（MVD）技术的转变。这种增长伴随着Internet带宽，视频编码和网络技术的深刻变化，从而使MVD内容通过Internet传递给最终用户的方式变得更加顺畅。由于MVD比单视图视频包含更多的数据，因此需要更多的带宽。对于网络服务提供商而言，在动态网络条件下以最佳用户的体验质量（QoE）提供此类视图是一项艰巨的任务。此外，众所周知，Internet容易出现数据包丢失，带宽变化，延迟和网络拥塞的情况，这可能会阻止视频数据包按时交付。除此之外，最终用户设备在计算能力，显示和访问链接容量方面的不同功能是其他挑战。结果，如果未部署质量意识的适应技术，则3D视频的观看体验可能会大大下降。在本文中，我们的工作重点是对通过Internet（HTTP）进行3D MVD流传输的动态网络环境进行全面分析。我们分析了决策策略不同适应的影响，并制定了一种新的质量感知适应技术。所提出的技术在传输视图可伸缩性方面从基于层的视频编码中得到提升。使用所提出的方法进行MVD流媒体实验的结果表明，即使在不利的网络条件下，感知到的3D的视频质量也会显着提高，这是提议的质量感知适应的影响。

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