Generative Outpainting To Enhance the Memorability of Short-Form Videos
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917843992313856 |
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| author | Byju, Alan Ladwa, Aman Sudhindra Sweeney, Lorin Smeaton, Alan F. |
| author_facet | Byju, Alan Ladwa, Aman Sudhindra Sweeney, Lorin Smeaton, Alan F. |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_14213 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Generative Outpainting To Enhance the Memorability of Short-Form Videos Byju, Alan Ladwa, Aman Sudhindra Sweeney, Lorin Smeaton, Alan F. Computer Vision and Pattern Recognition 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 |
| title | Generative Outpainting To Enhance the Memorability of Short-Form Videos |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.14213 |