The Predicting Media Memorability task in the MediaEval evaluation campaign has been running annually since 2018 and several different tasks and data sets have been used in this time. This has allowed us to compare the performance of many memorability prediction techniques on the same data and in a reproducible way and to refine and improve on those techniques. The resources created to compute media memorability are now being used by researchers well beyond the actual evaluation campaign. In this paper we present a summary of the task, including the collective lessons we have learned for the research community.

翻译：自2018年以来,MediaEval评价运动的预测媒体记忆性任务每年都在进行,在此期间使用了若干不同的任务和数据集,从而使我们能够以可复制的方式比较同一数据上的许多可计量性预测技术的绩效,并改进和改进这些技术,目前研究人员除了实际评价运动之外,还利用为计算媒体记忆性而创造的资源。我们在本文件中总结了任务,包括我们为研究界汲取的集体经验教训。