MediaEval

Understanding what makes a video memorable has a very broad range of current applications, e.g., education and learning, content retrieval and search, content summarization, storytelling, targeted advertising, content recommendation and filtering. This task requires participants to automatically predict memorability scores for videos that reflect the probability for a video to be remembered over both a short and long term. Participants will be provided with an extensive data set of videos with memorability annotations, related information, pre-extracted state-of-the-art visual features, and Electroencephalography (EEG) recordings.

Subtask 1: How memorable is this video? - Video-based prediction: This task requires participants to automatically predict memorability scores for videos that reflect the probability for a video to be remembered. Participants are required to generate automatic systems that predict memorability scores of new videos based on the given video dataset and their memorability scores.

Subtask 2: How memorable is this video?- Generalization (optional): Participants will train their system on one of the two sources of data we provide and will test them on the other source of data. This is an optional subtask.

Subtask 3: Will this person remember this video? - EEG-based prediction: This task requires participants to automatically predict if a person will remember a video. Participants are required to generate automatic systems that predict if a person will remember a new video based on the given video dataset and their EEG record.