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Memories in the making: predicting video memorability with encoding phase EEG

Sweeney, Lorin orcid logoORCID: 0000-0002-3427-1250, Healy, Graham orcid logoORCID: 0000-0001-6429-6339 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2023) Memories in the making: predicting video memorability with encoding phase EEG. In: 20th International Conference on Content-based Multimedia Indexing, 20-22 Sept 2023, Orleans, France.

Abstract
In a world of ephemeral moments, our brain diligently sieves through a cascade of experiences, like a skilled gold prospector searching for precious nuggets amidst the river's relentless flow. This study delves into the elusive "moment of memorability"---a fleeting, yet vital instant where experiences are prioritised for consolidation in our memory. By transforming subjects' encoding phase electroencephalography (EEG) signals into the visual domain using scaleograms and leveraging deep learning techniques, we investigate the neural signatures that underpin this moment, with the aim of predicting subject-specific recognition of video. Our findings not only support the involvement of theta band (4-8Hz) oscillations over the right temporal lobe in the encoding of declarative memory, but also support the existence of a distinct moment of memorability, akin to the gold nuggets that define our personal river of experiences.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Memory; memorability; EEG; Video Memorability; Deep Learning
Subjects:Computer Science > Artificial intelligence
Computer Science > Image processing
Computer Science > Machine learning
Computer Science > Digital video
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of the 20th International Conference on Content-based Multimedia Indexing. . Association for Computing Machinery (ACM).
Publisher:Association for Computing Machinery (ACM)
Official URL:https://iprcs.github.io/pdf/IMVIP2023_Proceeding.p...
Copyright Information:© 2023 The Authors.
Funders:Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/ 2289_P2
ID Code:28916
Deposited On:18 Aug 2023 15:34 by Alan Smeaton . Last Modified 16 Nov 2023 15:12
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