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Diffusing surrogate dreams of video scenes to predict video memorability

Sweeney, Lorin ORCID: 0000-0002-3427-1250, Healy, Graham ORCID: 0000-0001-6429-6339 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2023) Diffusing surrogate dreams of video scenes to predict video memorability. In: MediaEval’22: Multimedia Evaluation Workshop, 13–15 Jan 2023, Bergen, Norway and Online. (In Press)

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Abstract

As part of the MediaEval 2022 Predicting Video Memorability task we explore the relationship between visual memorability, the visual representation that characterises it, and the underlying concept portrayed by that visual representation. We achieve state-of-the-art memorability prediction performance with a model trained and tested exclusively on surrogate dream images, elevating concepts to the status of a cornerstone memorability feature, and finding strong evidence to suggest that the intrinsic memorability of visual content can be distilled to its underlying concept or meaning irrespective of its specific visual representational.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Artificial intelligence
Computer Science > Machine learning
Computer Science > Multimedia systems
Computer Science > Digital video
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of MediaEval 2022. . CEUR.
Publisher:CEUR
Copyright Information:© 2022 The Authors.
Funders:Science Foundation Ireland under Grant Number SFI/12/RC/2289_P2, European Regional Development Fund.
ID Code:27960
Deposited On:13 Jan 2023 14:01 by Alan Smeaton . Last Modified 02 Mar 2023 15:55

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