abstract

AVAtt : Art Visual Attention dataset for diverse painting styles

Authors:

Mohamed Amine Kerkouri,

Marouane Tliba,

Aladine Chetouani,

Alessandro BrunoAuthors Info & Claims

ETRA '24: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications

Article No.: 34, Pages 1 - 3

https://doi.org/10.1145/3649902.3655656

Published: 04 June 2024 Publication History

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Abstract

Preserving cultural heritage is paramount for societal and historical identity. Paintings, spanning ancient to modern eras, are pivotal subjects under constant scrutiny. As art reflects human creativity, studying human visual behavior toward paintings becomes increasingly vital. Thus, we introduce the AVAtt dataset, providing eye movement data for a diverse collection of painting styles across various ages and geographical origins. This dataset aims to facilitate the development and evaluation of computational saliency and scanpath prediction methods in the unique domain of painting (Dataset available at Github).

References

[1]

David Hasler and Sabine Suesstrunk. 2003. Measuring Colourfulness in Natural Images. Proceedings of SPIE - The International Society for Optical Engineering 5007 (06 2003), 87–95. https://doi.org/10.1117/12.477378

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[2]

ITU-T P.910. 2023. ITU-T P.910 (10/2023) - Subjective video quality assessment methods for multimedia applications. ITU-T Recommendation P.910. ITU-T Study Group 12. https://handle.itu.int/11.1002/1000/15697 P.900-P.999: Audiovisual quality in multimedia services.

Google Scholar

[3]

Olivier Le Meur, Tugdual Le Pen, and Rémi Cozot. 2020. Can we accurately predict where we look at paintings?PLOS ONE 15 (10 2020), 1–20. https://doi.org/10.1371/journal.pone.0239980

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Google Scholar

[4]

Olivier Le Meur and Zhi Liu. 2015. Saccadic model of eye movements for free-viewing condition. Vision research 116 (2015), 152–164.

Google Scholar

[5]

A. L. Yarbus. 1967. Eye Movements and Vision. Plenum. New York.

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AVAtt : Art Visual Attention dataset for diverse painting styles

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Published In

ETRA '24: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications

June 2024

525 pages

ISBN:9798400706073

DOI:10.1145/3649902

Editors:
Mohamed Khamis
University of Glasgow, United Kingdom
,
Yusuke Sugano
University of Tokyo, Japan
,
Ludwig Sidenmark
University of Toronto, Canada

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 04 June 2024

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ETRA '24: The 2024 Symposium on Eye Tracking Research and Applications

June 4 - 7, 2024

Glasgow, United Kingdom

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Overall Acceptance Rate 69 of 137 submissions, 50%

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2025 Symposium on Eye Tracking Research and Applications

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Abstract

References

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Recommendations

An eye tracking dataset for point of gaze detection

Human Visual Scanpath Prediction Based on RGB-D Saliency

RFID Painting Demonstration

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