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Facilitating the Production of Well-Tailored Video Summaries for Sharing on Social Media

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MultiMedia Modeling (MMM 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14557))

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Abstract

This paper presents a web-based tool that facilitates the production of tailored summaries for online sharing on social media. Through an interactive user interface, it supports a “one-click” video summarization process. Based on the integrated AI models for video summarization and aspect ratio transformation, it facilitates the generation of multiple summaries of a full-length video according to the needs of target platforms with regard to the video’s length and aspect ratio.

This work was supported by the EU Horizon 2020 programme under grant agreement H2020-951911 AI4Media.

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Authors and Affiliations

  1. Information Technologies Institute - Centre for Research and Technology, Hellas, 6th km Charilaou - Thermi Road, 57001, Thessaloniki, Greece

    Evlampios Apostolidis, Konstantinos Apostolidis & Vasileios Mezaris

Authors
  1. Evlampios Apostolidis
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  2. Konstantinos Apostolidis
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  3. Vasileios Mezaris
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Corresponding author

Correspondence to Evlampios Apostolidis .

Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Stevan Rudinac

  2. Delft University of Technology, Delft, The Netherlands

    Alan Hanjalic

  3. Delft University of Technology, Delft, The Netherlands

    Cynthia Liem

  4. University of Amsterdam, Amsterdam, The Netherlands

    Marcel Worring

  5. Reykjavik University, Reykjavik, Iceland

    Björn Þór Jónsson

  6. Microsoft Research Lab – Asia, Beijing, China

    Bei Liu

  7. The University of Tokyo, Tokyo, Japan

    Yoko Yamakata

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Apostolidis, E., Apostolidis, K., Mezaris, V. (2024). Facilitating the Production of Well-Tailored Video Summaries for Sharing on Social Media. In: Rudinac, S., et al. MultiMedia Modeling. MMM 2024. Lecture Notes in Computer Science, vol 14557. Springer, Cham. https://doi.org/10.1007/978-3-031-53302-0_21

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  • DOI: https://doi.org/10.1007/978-3-031-53302-0_21

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