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ViRMA: Virtual Reality Multimedia Analytics at Video Browser Showdown 2022

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MultiMedia Modeling (MMM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13142))

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Abstract

In this paper we describe the first iteration of the ViRMA prototype system, a novel approach to multimedia analysis in virtual reality, that is inspired by the M\(^3\) data model. In this model, media is mapped into a multidimensional space, based on its metadata. ViRMA users can then interact with the media collection by dynamically projecting the metadata space to the 3D virtual space, through a variety of interactions, and exploring the resulting visualisations.

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References

  1. Gíslason, S., Jónsson, B.Þ, Amsaleg, L.: Integration of exploration and search: a case study of the M\(^3\) model. In: Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, W.-H., Vrochidis, S. (eds.) MMM 2019. LNCS, vol. 11295, pp. 156–168. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-05710-7_13

    Chapter  Google Scholar 

  2. Gurrin, C., et al.: Introduction to the fourth annual lifelog search challenge, LSC’21. In: Proceedings of ACM ICMR, Taipei, Taiwan (2021)

    Google Scholar 

  3. Mettes, P., Koelma, D.C., Snoek, C.G.: The ImageNet shuffle: reorganized pre-training for video event detection. In: Proceedings of ACM ICMR, pp. 175–182 (2016)

    Google Scholar 

  4. Seebacher, D., Häußler, J., Stein, M., Janetzko, H., Schreck, T., Keim, D.A.: Visual analytics and similarity search: concepts and challenges for effective retrieval considering users, tasks, and data. In: Proceedings of SISAP, pp. 324–332. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68474-1_23

  5. Slater, M., Wilbur, S.: A Framework for Immersive Virtual Environments (FIVE): speculations on the role of presence in virtual environments. Presence 6(6), 603–616 (1997)

    Article  Google Scholar 

  6. Xie, S., Girshick, R., Dollar, P., Tu, Z., He, K.: Aggregated residual transformations for deep neural networks. In: Proceedings of CVPR (2017)

    Google Scholar 

  7. Zahálka, J., Worring, M.: Towards interactive, intelligent, and integrated multimedia analytics. In: Proceedings of VAST, pp. 3–12 (2014)

    Google Scholar 

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Acknowledgement

This work was supported by MCSA-IF grant 893914.

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Correspondence to Aaron Duane .

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Duane, A., Jónsson, B.Þ. (2022). ViRMA: Virtual Reality Multimedia Analytics at Video Browser Showdown 2022. In: Þór Jónsson, B., et al. MultiMedia Modeling. MMM 2022. Lecture Notes in Computer Science, vol 13142. Springer, Cham. https://doi.org/10.1007/978-3-030-98355-0_58

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  • DOI: https://doi.org/10.1007/978-3-030-98355-0_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98354-3

  • Online ISBN: 978-3-030-98355-0

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