  In this paper, we present the Predicting Media Memorability task, which is
proposed as part of the MediaEval 2018 Benchmarking Initiative for Multimedia
Evaluation. Participants are expected to design systems that automatically
predict memorability scores for videos, which reflect the probability of a
video being remembered. In contrast to previous work in image memorability
prediction, where memorability was measured a few minutes after memorization,
the proposed dataset comes with short-term and long-term memorability
annotations. All task characteristics are described, namely: the task's
challenges and breakthrough, the released data set and ground truth, the
required participant runs and the evaluation metrics.
