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dc.contributor.authorMozhganfar, Mojtaba
dc.contributor.authorKhodarahmi, Masoumeh 
dc.contributor.authorLorenzi, Daniele
dc.contributor.authorDolati, Mahdi
dc.contributor.authorTashtarian, Farzad
dc.contributor.authorKhonsari, Ahmad
dc.contributor.authorTimmerer, Christian
dc.date.accessioned2026-04-13T10:04:53Z
dc.date.available2026-04-13T10:04:53Z
dc.date.issued2026-05
dc.identifier.urihttps://hdl.handle.net/20.500.12761/2022
dc.description.abstractVolumetric 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.es
dc.language.isoenges
dc.titleQoE Modeling in Volumetric Video Streaming: A Short Surveyes
dc.typeconference objectes
dc.conference.date18-22 May 2026es
dc.conference.placeRome, Italyes
dc.conference.titleIEEE Network Operations and Management Symposium *
dc.event.typeconferencees
dc.pres.typepaperes
dc.rights.accessRightsopen accesses
dc.acronymNOMS*
dc.rankB*
dc.description.refereedTRUEes
dc.description.statusinpresses


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