Spatial Perceptual Quality Aware Adaptive Volumetric Video Streaming

TL;DR

This paper introduces a perceptual quality-aware adaptive streaming scheme for volumetric video that dynamically adjusts quality based on viewing distance and visual acuity, significantly enhancing user experience.

Contribution

It proposes a novel visual acuity model and QoE framework that optimize volumetric video streaming by balancing perceptual quality and bandwidth needs during 6DoF navigation.

Findings

Improves average QoE by up to 26% over real networks.

Effectively balances perceptual quality and bandwidth consumption.

Demonstrates the effectiveness of the proposed adaptive scheme through extensive experiments.

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.