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VISIONE 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

VISIONE is a content-based retrieval system that supports various search functionalities (text search, object/color-based search, semantic and visual similarity search, temporal search). It uses a full-text search engine as a search backend. In the latest version of our system, we modified the user interface, and we made some changes to the techniques used to analyze and search for videos.

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Acknowledgements

This work was partially funded by AI4Media - A European Excellence Centre for Media, Society and Democracy (EC, H2020 n. 951911); AI4EU project (EC, H2020, n. 825619); AI4ChSites, CNR4C program (Tuscany POR FSE 2014-2020 CUP B15J19001040004).

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Authors and Affiliations

  1. ISTI-CNR, Via G. Moruzzi 1, 56124, Pisa, Italy

    Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo & Claudio Vairo

Authors
  1. Giuseppe Amato
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  2. Paolo Bolettieri
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  3. Fabio Carrara
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  4. Fabrizio Falchi
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  5. Claudio Gennaro
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  6. Nicola Messina
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  7. Lucia Vadicamo
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  8. Claudio Vairo
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Corresponding author

Correspondence to Nicola Messina .

Editor information

Editors and Affiliations

  1. IT University of Copenhagen, Copenhagen, Denmark

    Björn Þór Jónsson

  2. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  3. University of Science, VNU-HCM, Ho Chi Minh City, Vietnam

    Minh-Triet Tran

  4. University of Bergen, Bergen, Norway

    Duc-Tien Dang-Nguyen

  5. National Tsing Hua University, Hsinchu, Taiwan

    Anita Min-Chun Hu

  6. Hanoi University of Science and Technology, Hanoi, Vietnam

    Binh Huynh Thi Thanh

  7. Median Technologies, Valbonne, France

    Benoit Huet

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Amato, G. et al. (2022). VISIONE 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_52

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  • DOI: https://doi.org/10.1007/978-3-030-98355-0_52

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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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