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SSV360

A Dataset for Standing and Seated Viewing of 360° Videos on Subjective Quality Assessment

Abstract

SSV360 dataset containing psychophysical and psychophysiological data gathered in a pilot study on the effect of standing and seated viewing of 360 videos on subjective quality assessment. The stimuli were shown to the participants on a head-mounted display for both viewing conditions. The ground truth contained in the SSV360 dataset may support, e.g., benchmarking of immersive media processing algorithms and developing objective perceptual quality metrics.

Dataset Structure

The SSV360 dataset contains the following three main folders:

1- Test_scenes

- Information regarding the coded reference videos and corresponding test videos
- The instructions for the download link of the 120 videos.

1- Standing_viewing_ACR_SSV360

Six sub-folders relating to the data type and the information about the participants:
	1_Data_ACR_MOS
	2_Data_ACR_HMD
	3_Data_ACR_EYE
	4_Data_ACR_GSR
	5_Data_ACR_SSQ
	6_Data_ACR_TimeStamp
	Participants_Information.csv

2- Seated_viewing_ACR_SSV360

Six sub-folders relating to the data type and the information about the participants:
	1_Data_ACR_MOS
	2_Data_ACR_HMD
	3_Data_ACR_EYE
	4_Data_ACR_GSR
	5_Data_ACR_SSQ
	6_Data_ACR_TimeStamp
	Participants_Information.csv

Citation

To use the SSV360 dataset in published work, please cite the following papers:

1- SSV360 dataset

  • Plain Text (MDPI and ACS Style)
Elwardy, M.;  Zepernick, H.-J.; and Hu, Y., “SSV360: A Dataset for Standing and Seated Viewing of 360° Videos on Subjective Quality Assessment,” in Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Christchurch, New Zealand, pp. 1-6, Mar. 2022
  • BibTex
@inproceedings{ELW22,
    	author    = {M. Elwardy, Hans-J\"urgen Zepernick and Y. Hu },
    	title     = {{SSV360: A Dataset for Standing and Seated Viewing of 360$^{\circ}$ Videos on Subjective Quality Assessment}},
    	booktitle = {Proc. IEEE Conf. on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},
    	address   = {Christchurch, New Zealand},
	month     = {Mar.},
    	year      = {2022},
     	pages     = {1-6}
}

2- MDPI Journal article

  • Plain Text (MDPI and ACS Style)
Hu, Y.; Elwardy, M.; Zepernick, H.-J. On the Effect of Standing and Seated Viewing of 360° Videos on Subjective Quality Assessment: A Pilot Study. Computers 2021, 10, 80. https://doi.org/10.3390/computers10060080
  • BibTex
@article{YAN21,
author  = {Y. Hu and M. Elwardy and Hans-J\"urgen Zepernick},
title   = {{On the Effect of Standing and Seated Viewing of 360$^{\circ}$ Videos on Subjective Quality Assessment: A Pilot Study}},
journal = {Computers},
volume  = {10},
number  = {6},
pages   = {80},
month   = {Jun.},
year    = {2021}
}

Acknowledgements

This work was funded in part by The Knowledge Foundation, Sweden, grant number 20170056, ViaTecH project.

Contact

If you have any question about our SSV360 dataset, please use the public issues section on this Github repo.

Alternatively, contact the authors:

Please send email in the format as follows:

  • subject: SSV360

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A dataset for standing and seated viewing of 360° videos on subjective quality assessment

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