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VIRET Tool Meets NasNet

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10401575" target="_blank" >RIV/00216208:11320/19:10401575 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-05716-9_52" target="_blank" >https://doi.org/10.1007/978-3-030-05716-9_52</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-05716-9_52" target="_blank" >10.1007/978-3-030-05716-9_52</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    VIRET Tool Meets NasNet

  • Original language description

    The results of the last Video Browser Showdown in Bangkok 2018 show that multimodal search with interactive query reformulation represents a competitive search strategy for all the evaluated task categories. Therefore, we plan to target the effectiveness of involved retrieval models by making use of the most recent deep network architectures in the new version of our interactive video retrieval VIRET tool. Specifically, we apply the NasNet deep convolutional neural network architecture for automatic annotation and similarity search in the set of selected frames from the provided video collection. In addition, we implement temporal sequence queries and subimage similarity search to provide higher query formulation flexibility for users.

  • 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/GA17-22224S" target="_blank" >GA17-22224S: User preference analytics in multimedia exploration models</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • 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 25th International Conference, MMM 2019

  • ISBN

    978-3-030-05715-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    597-601

  • Publisher name

    Springer

  • Place of publication

    Switzerland

  • Event location

    Thessaloniki, Greece

  • Event date

    Jan 8, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article