mlsanityData to 13 Oct 2026

Leveraging Audio Gestalt to Predict Media Memorability

arXiv 2012.15635 ↗First posted 31 Dec 2020cs.MM cs.AI cs.CVcited by 5

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Abstract (arXiv)

Memorability determines what evanesces into emptiness, and what worms its way into the deepest furrows of our minds. It is the key to curating more meaningful media content as we wade through daily digital torrents. The Predicting Media Memorability task in MediaEval 2020 aims to address the question of media memorability by setting the task of automatically predicting video memorability. Our approach is a multimodal deep learning-based late fusion that combines visual, semantic, and auditory features. We used audio gestalt to estimate the influence of the audio modality on overall video memorability, and accordingly inform which combination of features would best predict a given video's memorability scores.

Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). First posted on arXiv 31 Dec 2020.

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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 1.

5 papers.