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RQA360

A repeated subjective quality assessment dataset for standing and seated viewing.

Abstract

text

Dataset Structure

The RQA360 dataset contains the following three main folders:

1- Test_scenes

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

1- Standing_viewing_ACR_RQA360

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_TimeStamp
	Participants_Information.csv

2- Seated_viewing_ACR_RQA360

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_TimeStamp
	Participants_Information.csv

Citation

To use the RQA360 dataset in published work, please cite the following paper:

  • Plain Text
Elwardy, M., Zepernick, H.-J., Chu, T. M. C., & Hu, Y. (2024). On the Consistency of 360 Video Quality Assessment in Repeated Subjective Tests: A Pilot Study. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 11(1). https://doi.org/10.4108/eetinis.v11i1.4323
  • BibTex
@article{Elwardy_2024, 
	author	={Elwardy, Majed and Zepernick, Hans-Juergen and Chu, Thi My Chinh and Hu, Yan},
	title	={On the Consistency of 360 Video Quality Assessment in Repeated Subjective Tests: A Pilot Study}, 
	journal	={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
	volume	={11}, 
	number	={1},   
	year	={2024}, 
	month	={Jan.} 
}

Acknowledgements

This work was supported in part by the Knowledge Foundation, Sweden, through the ViaTecH and HINTS projects under contract numbers 20170056 and 20220068, respectively.

Contact

If you have any questions about our RQA360 dataset, please use the public issues section on this GitHub repo.

Alternatively, contact the authors:

Please send an email in the format as follows:

  • subject: RQA360

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On a Repeated 360 degree Video Quality Assessment for Standing and Seated Viewing on Head-Mounted Displays

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