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Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability

Sweeney, Lorin and Matran-Fernandez, Ana and Halder, Sebastian and Garcia Seco De Herrera, Alba and Smeaton, Alan and Healy, Graham (2021) Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability. In: MediaEval Multimedia Evaluation benchmark (MediaEval), 2021-12-13 - 2021-12-15.

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The aim of the Memorability-EEG pilot subtask at MediaEval’2021 is to promote interest in the use of neural signals—either alone or in combination with other data sources—in the context of predicting video memorability by highlighting the utility of EEG data. The dataset created consists of pre-extracted features from EEG recordings of subjects while watching a subset of videos from Predicting Media Memorability subtask 1. This demonstration pilot gives interested researchers a sense of how neural signals can be used without any prior domain knowledge, and enables them to do so in a future memorability task. The dataset can be used to support the exploration of novel machine learning and processing strategies for predicting video memorability, while potentially increasing interdisciplinary interest in the subject of memorability, and opening the door to new combined EEG-computer vision approaches.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 01 Mar 2022 12:49
Last Modified: 23 Sep 2022 19:52

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