Understanding visual interestingness is a challenging task addressed by researchers in
various disciplines ranging from humanities and psychology to, more recently, computer …

A key capability of an intelligent system is deciding when events from past experience must
be remembered and when they can be forgotten. Towards this goal, we develop a predictive …

Experimental evaluations dealing with visual known-item search tasks, where real users
look for previously observed and memorized scenes in a given video collection, represent a …

Humans share a strong tendency to memorize/forget some of the visual information they
encounter. This paper focuses on understanding the intrinsic memorability of visual content …

Memorability can be regarded as a useful metric of video importance to help make a choice
between competing videos. Research on computational understanding of video …

The pixels in an image, and the objects, scenes, and actions that they compose, determine
whether an image will be memorable or forgettable. While memorability varies by image, it is …

The question of how to best estimate the memorability of visual content is currently a source
of debate in the memorability community. In this paper, we propose to explore how different …

This paper describes the MediaEval 2021 Predicting Media Memorability} task, which is in
its 4th edition this year, as the prediction of short-term and long-term video memorability …

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 …

In this paper, we present the Predicting Media Memorability task, which is running for the
second year at the MediaEval 2019 Benchmarking Initiative for Multimedia Evaluation …