eess.IV - 2023-09-10

Spatial Perceptual Quality Aware Adaptive Volumetric Video Streaming

  • paper_url: http://arxiv.org/abs/2309.05026
  • repo_url: None
  • paper_authors: Xi Wang, Wei Liu, Huitong Liu, Peng Yang
  • for: 本研究旨在探讨6自由度空间浏览所引入的观看距离对用户感知质量的影响,以及一种基于人类视觉能力限制的视觉含量模型,以满足6DoF浏览期间的空间视觉需求。
  • methods: 本研究使用了人类视觉能力限制的视觉含量模型,以满足6DoF浏览期间的空间视觉需求。此外,还提出了一种基于用户感知质量的QoE模型,以准确地表示用户在不同观看距离下的感知质量。
  • results: 实验结果表明,提出的方案可以提高总平均QoE水平,相比现有基eline,提高了26%。
    Abstract Volumetric video offers a highly immersive viewing experience, but poses challenges in ensuring quality of experience (QoE) due to its high bandwidth requirements. In this paper, we explore the effect of viewing distance introduced by six degrees of freedom (6DoF) spatial navigation on user's perceived quality. By considering human visual resolution limitations, we propose a visual acuity model that describes the relationship between the virtual viewing distance and the tolerable boundary point cloud density. The proposed model satisfies spatial visual requirements during 6DoF exploration. Additionally, it dynamically adjusts quality levels to balance perceptual quality and bandwidth consumption. Furthermore, we present a QoE model to represent user's perceived quality at different viewing distances precisely. Extensive experimental results demonstrate that, the proposed scheme can effectively improve the overall average QoE by up to 26% over real networks and user traces, compared to existing baselines.
    摘要 三维视频提供了非常深刻的浸没体验,但它带来质量经验(QoE)的挑战,因为它具有高带宽需求。在这篇论文中,我们探索了通过六个自由度(6DoF)空间导航引入的观看距离对用户的感知质量的影响。通过考虑人类视觉限制,我们提出了一个视觉acuity模型,该模型描述虚拟观看距离对tolerable boundary point cloud density的关系。我们的模型满足了在6DoF探索中的空间视觉需求。此外,我们还提出了一个QoE模型,可以准确地表示用户在不同观看距离下的感知质量。我们的方案可以有效地提高总平均QoE,相比现有基elines,提高了26%。