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Published October 2, 2023 | Version v1
Journal article Open

D-SAV360: A Dataset of Gaze Scanpaths on 360° Ambisonic Videos

Description

D-SAV360 is composed of 50 stereoscopic and 35 monoscopic 360º videos with ambisonic sound. We provide the collected gaze data from 87 participants visualizing the videos, the computed saliency maps, the estimated optical flow (obtained using RAFT), the estimated depth, the computed Audio Energy Maps, and the individual recordings from the 360º camera rig (6x fisheye recordings).

  • Project page, documentation and additional information: https://graphics.unizar.es/projects/D-SAV360/
  • If you find our dataset useful, please cite the corresponding publication
    Bernal-Berdun, E., Martin, D., Malpica, S., Perez, P.J., Gutierrez, D., Masia, B. and Serrano, A., 2023. D-SAV360: A Dataset of Gaze Scanpaths on 360° Ambisonic Videos. IEEE Transactions on Visualization and Computer Graphics. DOI: 10.1109/TVCG.2023.3320237
  • Note: The individual recordings from the 360º camera rig (6x fisheye recordings) are too large for the allowed size. Please visit the project page if you are interested in this data.

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Additional details

Related works

Is published in
Journal article: 10.1109/TVCG.2023.3320237 (DOI)

Funding

CHAMELEON 682080
European Research Council
PRIME 956585
Marie Curie
VIRTUALIGHT PID2019-105004GB-I00
Agencia Estatal de Investigación
IMMERSENSE PID2022-141539NB-I00
Agencia Estatal de Investigación