Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability
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Abstract (arXiv)
As part of the MediaEval 2022 Predicting Video Memorability task we explore the relationship between visual memorability, the visual representation that characterises it, and the underlying concept portrayed by that visual representation. We achieve state-of-the-art memorability prediction performance with a model trained and tested exclusively on surrogate dream images, elevating concepts to the status of a cornerstone memorability feature, and finding strong evidence to suggest that the intrinsic memorability of visual content can be distilled to its underlying concept or meaning irrespective of its specific visual representational.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 7 of its 17 references that are in the map. First posted on arXiv 19 Dec 2022.
Builds on
7 of 17 references.
References · 7
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
- 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
- 2020Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorabilitycited by 23
- 2020Leveraging Audio Gestalt to Predict Media Memorabilitycited by 5
- 2021The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability Systemcited by 5
- 2022Overview of The MediaEval 2022 Predicting Video Memorability Taskcited by 5
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Citing papers per year: 2023: 2; 2024: 0; 2025: 2.
4 papers.
- 2023Diffusion Action Segmentationcited by 74
- 2023Using Saliency and Cropping to Improve Video Memorabilitycited by 0
- 2025Enhancing Video Memorability Prediction with Text-Motion Cross-modal Contrastive Loss and Its Application in Video Summarizationcited by 0
- 2025CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissectioncited by 0
- 2025CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection4 Jul 2025
- 2025Enhancing Video Memorability Prediction with Text-Motion Cross-modal Contrastive Loss and Its Application in Video Summarization10 Jun 2025
- 2023Using Saliency and Cropping to Improve Video Memorability21 Sep 2023
- 2023Diffusion Action Segmentation31 Mar 2023