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QoE Modeling in Volumetric Video Streaming: A Short Survey

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IEEE_NOMS_2026__QoE_Short_Paper.pdf (158.4Kb)
Identifiers
URI: https://hdl.handle.net/20.500.12761/2022
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Author(s)
Mozhganfar, Mojtaba; Khodarahmi, Masoumeh; Lorenzi, Daniele; Dolati, Mahdi; Tashtarian, Farzad; Khonsari, Ahmad; Timmerer, Christian
Date
2026-05
Abstract
Volumetric video streaming enables six degrees of freedom (6DoF) interaction, allowing users to navigate freely within immersive three-dimensional (3D) environments. Despite notable advancements, volumetric video remains an emerging field, presenting ongoing challenges and vast opportunities in content capture, compression, transmission, decompression, rendering, and display. As user expectations grow, delivering high Quality of Experience (QoE) in these systems becomes increasingly critical due to the complexity of volumetric content and the demands of interactive streaming. This paper reviews recent progress in QoE for volumetric streaming, beginning with an overview of QoE evaluation of volumetric video streaming studies, including subjective assessments tailored to 6DoF content. The core focus of this work is on objective QoE modeling, where we analyze existing models based on their input factors and methodological strategies. Finally, we discuss the key challenges and promising research directions for building perceptually accurate and adaptable QoE models that can support the future of immersive volumetric media.
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Files
IEEE_NOMS_2026__QoE_Short_Paper.pdf (158.4Kb)
Identifiers
URI: https://hdl.handle.net/20.500.12761/2022
Metadata
Show full item record

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