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VERGE in VBS 2022

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MultiMedia Modeling (MMM 2022)

Abstract

This paper presents VERGE, an interactive video search engine that integrates multiple retrieval methodologies and also combines them with reranking and fusion techniques. Moreover, a user interface, implemented as a Web application, enables users to formulate queries, view the top retrieved shots and watch the respective videos, before submitting a shot to a VBS task, all in an efficient and easy manner.

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Acknowledgements

This work has been supported by the EU’s Horizon 2020 research and innovation programme under grant agreements H2020-825079 Mind-Spaces, H2020-780656 ReTV, and H2020-832921 MIRROR.

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Correspondence to Stelios Andreadis .

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Andreadis, S. et al. (2022). VERGE in VBS 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_50

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  • DOI: https://doi.org/10.1007/978-3-030-98355-0_50

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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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