Saliency Database
Overview
The QoEVAVE Saliency Database is based on subjects head-tracking of free-form exploration of 14 360 degree videos presented over a head-mounted-display with three audio scenarios; no audio, mono audio, and 4th-order head-tracked Ambisonics audio. In addition to the head tracking data for the three audio scenarios, scene descriptions and cybersickness scores are collected through a post-viewing verbalization task and simulator sickness questionnaire.
Data Description
The download of the saliency data is spil up into two parts. On this page the general information about the Subjects (age, gender, prior experience with HMDs) and the ratings of the Simulator Sickness Questionnaire can be downloaded:
- Subject Information and Simulator Sickness Questionnaire File: Subject_and_SSQ_Data.csv
On the specific sub-pages for each video, more information like the Head-Rotation Data or the Scene Verbalisation Data can be downloaded.
If you want to download the data of all the scenes together at once, please you the following links:
- Headrotation data for full video-duration: HeadrotationFullDuration.zip
- Headrotation data for videos cut down in 10 second parts: Headrotation10secCuts.zip
- Heatmaps of the 10 second parts: HeatMaps.zip
- All Ridgelineplots: RidgelinePlots.zip
- Sceneverbalisation: SceneVerbalisation.zip
- All Circular Barplots: CircularBarPlots.zip
Publication
When using the QoEVAVE Saliency Database, please cite the following works.
Singla, A., Robotham, T., Menz, W., Raake, A., Habets, E. A. P. June, 2023. Saliency of Omnidirectional Videos with Different Audio Presentations: Analyses and Dataset. In Proc, 15th International Conference on Quality of Multimedia Experience (QoMEX). Ghent, Belgium. DOI: 10.1109/QoMEX58391.2023.10178588
@inproceedings{singla2023,
title = {Saliency of Omnidirectional Videos with Different Audio Presentations: Analyses and Dataset},
author = {Singla, Ashutosh and Robotham, Thomas and Menz, William and Raake, Alexander and Habets, Emanuël A. P.},
year = {2023},
booktitle = {15th International Conference on Quality of Multimedia Experience},
address={Ghent, Belgium},
pages={1--6},
doi={10.1109/QoMEX58391.2023.10178588}
}