VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2022
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| _version_ | 1866909230736343040 |
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| author | Lin, David Chuan-En Heilbron, Fabian Caba Lee, Joon-Young Wang, Oliver Martelaro, Nikolas |
| author_facet | Lin, David Chuan-En Heilbron, Fabian Caba Lee, Joon-Young Wang, Oliver Martelaro, Nikolas |
| contents | Video editing is a creative and complex endeavor and we believe that there is potential for reimagining a new video editing interface to better support the creative and exploratory nature of video editing. We take inspiration from latent space exploration tools that help users find patterns and connections within complex datasets. We present VideoMap, a proof-of-concept video editing interface that operates on video frames projected onto a latent space. We support intuitive navigation through map-inspired navigational elements and facilitate transitioning between different latent spaces through swappable lenses. We built three VideoMap components to support editors in three common video tasks. In a user study with both professionals and non-professionals, editors found that VideoMap helps reduce grunt work, offers a user-friendly experience, provides an inspirational way of editing, and effectively supports the exploratory nature of video editing. We further demonstrate the versatility of VideoMap by implementing three extended applications. For interactive examples, we invite you to visit our project page: https://humanvideointeraction.github.io/videomap. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2211_12492 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space Lin, David Chuan-En Heilbron, Fabian Caba Lee, Joon-Young Wang, Oliver Martelaro, Nikolas Human-Computer Interaction Computer Vision and Pattern Recognition Multimedia Video editing is a creative and complex endeavor and we believe that there is potential for reimagining a new video editing interface to better support the creative and exploratory nature of video editing. We take inspiration from latent space exploration tools that help users find patterns and connections within complex datasets. We present VideoMap, a proof-of-concept video editing interface that operates on video frames projected onto a latent space. We support intuitive navigation through map-inspired navigational elements and facilitate transitioning between different latent spaces through swappable lenses. We built three VideoMap components to support editors in three common video tasks. In a user study with both professionals and non-professionals, editors found that VideoMap helps reduce grunt work, offers a user-friendly experience, provides an inspirational way of editing, and effectively supports the exploratory nature of video editing. We further demonstrate the versatility of VideoMap by implementing three extended applications. For interactive examples, we invite you to visit our project page: https://humanvideointeraction.github.io/videomap. |
| title | VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space |
| topic | Human-Computer Interaction Computer Vision and Pattern Recognition Multimedia |
| url | https://arxiv.org/abs/2211.12492 |