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Exquisitor at the Video Browser Showdown 2022

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F22%3A00364048" target="_blank" >RIV/68407700:21730/22:00364048 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-98355-0_47" target="_blank" >https://doi.org/10.1007/978-3-030-98355-0_47</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-98355-0_47" target="_blank" >10.1007/978-3-030-98355-0_47</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exquisitor at the Video Browser Showdown 2022

  • Original language description

    Exquisitor is the state-of-the-art large-scale interactive learning approach for media exploration that utilizes user relevance feedback at its core and is capable of interacting with collections containing more than 100M multimedia items at sub-second latency. In this work, we propose improvements to Exquisitor that include new features extracted at shot level for semantic concepts, scenes and actions. In addition, we introduce extensions to the video summary interface providing a better overview of the shots. Finally, we replace a simple keyword search featured in the previous versions of the system with a semantic search based on modern contextual representations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotics 4 Industry 4.0</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MultiMedia Modeling 28th International Conference, MMM 2022, Phu Quoc, Vietnam, June 6–10, 2022, Proceedings, Part II

  • ISBN

    978-3-030-98354-3

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    7

  • Pages from-to

    511-517

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Phu Quoc

  • Event date

    Jun 6, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000788273600047