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Exquisitor at the Video Browser Showdown 2020

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00344442" target="_blank" >RIV/68407700:21730/20:00344442 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-37734-2_72" target="_blank" >https://doi.org/10.1007/978-3-030-37734-2_72</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-37734-2_72" target="_blank" >10.1007/978-3-030-37734-2_72</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exquisitor at the Video Browser Showdown 2020

  • Original language description

    When browsing large video collections, human-in-the-loop systems are essential. The system should understand the semantic information need of the user and interactively help formulate queries to satisfy that information need based on data-driven methods. Full synergy between the interacting user and the system can only be obtained when the system learns from the user interactions while providing immediate response. Doing so with dynamically changing information needs for large scale multimodal collections is a challenging task. To push the boundary of current methods, we propose to apply the state of the art in interactive multimodal learning to the complex multimodal information needs posed by the Video Browser Showdown (VBS). To that end we adapt the Exquisitor system, a highly scalable interactive learning system. Exquisitor combines semantic features extracted from visual content and text to suggest relevant media items to the user, based on user relevance feedback on previously suggested items. In this paper, we briefly describe the Exquisitor system, and its first incarnation as a VBS entrant.

  • 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

    2020

  • 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

  • ISBN

    978-3-030-37733-5

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    7

  • Pages from-to

    796-802

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Daejeon

  • Event date

    Jan 5, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000611566100072