论文标题
中世纪2021年脑电图飞行员子任务的概述：预测媒体记忆性
Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability
论文作者
论文摘要
在中世纪2011年，记忆性 - EEG飞行员子任务子任务的目的是在通过突出脑电图数据的实用性来预测视频记忆力的情况下，促进对使用神经信号的兴趣 - 单独或与其他数据源结合使用。创建的数据集由来自主题的脑电图记录的预提取功能组成，同时观看了预测媒体记忆性subtask 1的一系列视频。这次演示飞行员使感兴趣的研究人员了解如何在没有任何先前的域知识的情况下使用神经信号，并使他们能够在将来的记忆力任务中这样做。该数据集可用于支持探索新颖的机器学习和处理策略，以预测视频记忆力，同时有可能增加对记忆性主题的跨学科兴趣，并为新组合的EEG EEG-Computer Vision方法打开大门。
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.
