论文标题
中世纪2020年预测媒体记忆性任务的概述：什么使视频令人难忘？
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?
论文作者
论文摘要
本文介绍了中世纪2020 \ textit {预测媒体记忆性}任务。在中世纪2018年首次提出建议之后，预测的媒体记忆力任务是今年的第3版，因为对短期和长期视频记忆性（VM）的预测仍然是一项艰巨的任务。在2020年，该格式保持与以前的版本相同。今年，视频是Trecvid 2019视频对文本数据集的一个子集，与2019年任务相比，视频包含更多的动作视频内容。在本文中，提供了此任务的某些方面的描述，包括其主要特征，集合的描述，地面真相数据集，评估指标以及参与者跑步提交的要求。
This paper describes the MediaEval 2020 \textit{Predicting Media Memorability} task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its 3rd edition this year, as the prediction of short-term and long-term video memorability (VM) remains a challenging task. In 2020, the format remained the same as in previous editions. This year the videos are a subset of the TRECVid 2019 Video-to-Text dataset, containing more action rich video content as compared with the 2019 task. In this paper a description of some aspects of this task is provided, including its main characteristics, a description of the collection, the ground truth dataset, evaluation metrics and the requirements for participants' run submissions.
