Abstract
We describe our preliminary experiments in hybrid moving images. A hybrid image is generated by synthesizing two different still images into one in such a way that the interpretation can change depending on the viewing distance of either of these two images. However, existing works on hybrid images only apply this technique to still images, and the application to moving images is still largely unexplored. Thus, investigating hybrid moving images has the potential to contribute to both research and artistic practices. We have developed software to create video clips of hybrid images and have performed a preliminary investigation into hybrid moving images. The results suggest that hybrid moving images still retain the characteristics of hybrid images, but the synthesis of a moving image and a still image may likely extend the range over which the synthesized moving image can still be perceived. On the other hand, the synthesis of two moving images seems to narrow the possible viewing distances for both synthesized images. Faster movement may also improve visibility.
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Notes
- 1.
Image: A hybrid image constructed from the low-frequency components of a photograph of Marilyn Monroe (left inset) and the high-frequency components of a photograph of Albert Einstein (right inset), https://en.wikipedia.org/wiki/Hybrid_image#/media/File:Hybrid_image_decomposition.jpg (public domain).
- 2.
Images: Stock footage provided by Stand Up for Nature, downloaded from www.videvo.net, https://www.videvo.net/video/lioness-prowling-03/458150/ (Videvo Attribution License) and A Puppy Playing Tug Of War By Biting Its Collar Sling by Andrea Hamilton, https://www.pexels.com/video/a-puppy-playing-tug-of-war-by-biting-its-collar-sling-3144446/ (Creative Commons License).
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Okumura, H., Sripian, P., Nishino, H. (2023). Preliminary Experiments in Hybrid Moving Images. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1832. Springer, Cham. https://doi.org/10.1007/978-3-031-35989-7_51
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