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PH-Remix Prototype

A Non Relational Approach for Exploring AI-Generated Content in Audiovisual Archives

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Linking Theory and Practice of Digital Libraries (TPDL 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13541))

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Abstract

Born in the complex and interdisciplinary scenario of digital culture, PH-Remix is a prototype of a web platform granting access and reuse of a vast amount of clips extracted from videos through AI techniques. The paper focuses both on the contribution of AI with the use of multiple machine learning algorithms specialized in the extraction of information from videos and on the possibilities derived from the use of a NoSQL database that plays a key role in the microservices architecture developed.

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Notes

  1. 1.

    Public History remix 2020–2022. http://www.labcd.unipi.it/ph-remix.

  2. 2.

    https://www.fiafnet.org/images/tinyUpload/E-Resources/Commission-And-PIP-Resources/CDC-resources/20160920%20Fiaf%20Manual-WEB.pdf.

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Author information

Authors and Affiliations

  1. Dipartimento di Filologia, Letteratura e Linguistica, Università di Pisa, Pisa, Italy

    Chiara Mannari

  2. Dipartimento di Informatica, Università di Pisa, Pisa, Italy

    Davide Italo Serramazza

  3. Dipartimento di Civiltà e Forme del Sapere, Università di Pisa, Pisa, Italy

    Enrica Salvatori

Authors
  1. Chiara Mannari
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  2. Davide Italo Serramazza
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  3. Enrica Salvatori
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Corresponding author

Correspondence to Davide Italo Serramazza .

Editor information

Editors and Affiliations

  1. University of Padua, Padua, Italy

    Gianmaria Silvello

  2. Universidad Politécnica de Madrid, Madrid, Spain

    Oscar Corcho

  3. CNR-ISTI – National Research Council, Pisa, Italy

    Paolo Manghi

  4. University of Padua, Padua, Italy

    Giorgio Maria Di Nunzio

  5. Linnaeus University, Växjö, Sweden

    Koraljka Golub

  6. University of Padua, Padua, Italy

    Nicola Ferro

  7. Sapienza University of Rome, Rome, Italy

    Antonella Poggi

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Mannari, C., Serramazza, D.I., Salvatori, E. (2022). PH-Remix Prototype. In: Silvello, G., et al. Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham. https://doi.org/10.1007/978-3-031-16802-4_31

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  • DOI: https://doi.org/10.1007/978-3-031-16802-4_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16801-7

  • Online ISBN: 978-3-031-16802-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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