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Generative Outpainting To Enhance the Memorability of Short-Form Videos

arXiv 2411.14213 ↗First posted 21 Nov 2024cs.CVcited by 0

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Abstract (arXiv)

With the expanding use of the short-form video format in advertising, social media, entertainment, education and more, there is a need for such media to both captivate and be remembered. Video memorability indicates to us how likely a video is to be remembered by a viewer who has no emotional or personal connection with its content. This paper presents the results of using generative outpainting to expand the screen size of a short-form video with a view to improving its memorability. Advances in machine learning and deep learning are compared and leveraged to understand how extending the borders of video screensizes can affect their memorability to viewers. Using quantitative evaluation we determine the best-performing model for outpainting and the impact of outpainting based on image saliency on video memorability scores

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 23 references that are in the map. First posted on arXiv 21 Nov 2024.

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References · 7

  1. 2018YouTube-VOS: A Large-Scale Video Object Segmentation Benchmarkcited by 381
  2. 2024Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptationcited by 29
  3. 2020Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?cited by 11
  4. 2023Long-Term Ad Memorability: Understanding & Generating Memorable Adscited by 9
  5. 2020Leveraging Audio Gestalt to Predict Media Memorabilitycited by 5
  6. 2022Overview of The MediaEval 2022 Predicting Video Memorability Taskcited by 5
  7. 2021Predicting Media Memorability: Comparing Visual, Textual and Auditory Featurescited by 3

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