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Preliminary Experiments in Hybrid Moving Images

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HCI International 2023 Posters (HCII 2023)

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. 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. 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).

References

  1. Isenberg, P., Dragicevic, P., Willett, W., Bezerianos, A., Fekete, J.D.: Hybrid-image visualization for large viewing environments. IEEE Trans. Vis. Comput. Graph. 19(12), 2346–2355 (2013)

    Article  Google Scholar 

  2. Long, G.M., Toppino, T.C.: Enduring interest in perceptual ambiguity: alternating views of reversible figures. Psychological bulletin 130(5), 748 (2004)

    Article  Google Scholar 

  3. Oliva, A., Torralba, A.: Modeling the shape of the scene: A holistic representation of the spatial envelope. International journal of computer vision 42, 145–175 (2001)

    Article  MATH  Google Scholar 

  4. Oliva, A., Torralba, A.: Building the gist of a scene: The role of global image features in recognition. Progress in brain research 155, 23–36 (2006)

    Article  Google Scholar 

  5. Oliva, A., Torralba, A., Schyns, P.G.: Hybrid images. ACM Transactions on Graphics (TOG) 25(3), 527–532 (2006)

    Article  Google Scholar 

  6. Papadopoulos, A., Nguyen, T., Durmus, E., Memon, N.: Illusionpin: Shoulder-surfing resistant authentication using hybrid images. IEEE Transactions on Information Forensics and Security 12(12), 2875–2889 (2017)

    Article  Google Scholar 

  7. Parkkonen, L., Andersson, J., Hämäläinen, M., Hari, R.: Early visual brain areas reflect the percept of an ambiguous scene. Proceedings of the National Academy of Sciences 105(51), 20500–20504 (2008)

    Article  Google Scholar 

  8. Schyns, P.G., Oliva, A.: Dr. angry and mr. smile: When categorization flexibly modifies the perception of faces in rapid visual presentations. Cognition 69(3), 243–265 (1999)

    Google Scholar 

  9. Sripian, P.: Toward using hybrid image as a visual acuity assessment tool. In: 2016 Nicograph International (NicoInt). pp. 171–177. IEEE (2016)

    Google Scholar 

  10. Sripian, P.: Computational visual illusion and its application. In: ICGG 2018-Proceedings of the 18th International Conference on Geometry and Graphics: 40th Anniversary-Milan, Italy, August 3–7, 2018 18. pp. 106–113. Springer (2019)

    Google Scholar 

  11. Sripian, P., Yamaguchi, Y.: Shape-free hybrid image. In: Proceedings of the Symposium on Non-Photorealistic Animation and Rendering. pp. 11–19 (2012)

    Google Scholar 

  12. Sripian, P., Yamaguchi, Y.: Hybrid image of three contents. Visual Computing for Industry, Biomedicine, and Art 3(1), 1–8 (2020). https://doi.org/10.1186/s42492-019-0036-3

    Article  Google Scholar 

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Correspondence to Peeraya Sripian .

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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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  • DOI: https://doi.org/10.1007/978-3-031-35989-7_51

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  • Print ISBN: 978-3-031-35988-0

  • Online ISBN: 978-3-031-35989-7

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