VRstalls: A Dataset on the QoE of Frame Stalls in 6-DOF VR

A dataset has been created from an experiment regarding the subjective Quality of Experience (QoE) in relation to stalling video feeds in interactive 6-Degrees-of-freedom Virtual Reality (6-DOF VR). The main purpose of collecting this data is to provide insight into the QoE of stalls that may occur...

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Main Authors: Kelkkanen, Viktor, Lindero, David, Zepernick, Hans-Jurgen, Fiedler, Markus, Chu, Thi My Chinh
Format: Conference Proceeding
Language:English
Subjects:
Feeds
Mean square error methods
Quality of experience
Testing
Virtual reality
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creator Kelkkanen, Viktor
Lindero, David
Zepernick, Hans-Jurgen
Fiedler, Markus
Chu, Thi My Chinh
description A dataset has been created from an experiment regarding the subjective Quality of Experience (QoE) in relation to stalling video feeds in interactive 6-Degrees-of-freedom Virtual Reality (6-DOF VR). The main purpose of collecting this data is to provide insight into the QoE of stalls that may occur in interactive remote-rendered 6-DOF VR. The data contains information regarding user ratings coupled with various stall lengths and for both frozen or reprojected images. Additionally, user motion and pixel changes (in the form of Mean Square Errors) in successive images in the vicinity of the stall are also stored. In summary, 29 users participated in testing, each rating 16 scenes, amounting to a total of 464 rated scenes.
doi_str_mv 10.1109/QoMEX55416.2022.9900895
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subjects Feeds
Mean square error methods
Quality of experience
Testing
Virtual reality
title VRstalls: A Dataset on the QoE of Frame Stalls in 6-DOF VR
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