MediaEval 2018: Predicting Media Memorability
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A4 Artikkeli konferenssijulkaisussa
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en
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3
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MediaEval 2018 - Multimedia Benchmark Workshop: Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia, Antipolis, France, 29-31 October 2018, CEUR Workshop Proceedings ; Volume 2283
Abstract
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 runs and the evaluation metrics.Description
| openaire: EC/H2020/780069/EU//MeMAD
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Cohendet, R, Demarty, C-H, Duong, N Q K, Sjöberg, M, Ionescu, B & Do, T T 2018, MediaEval 2018: Predicting Media Memorability. in MediaEval 2018 - Multimedia Benchmark Workshop : Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia, Antipolis, France, 29-31 October 2018. CEUR Workshop Proceedings, vol. 2283, CEUR, Multimedia Benchmark Workshop, Sophia Antipolis, France, 29/10/2018.