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Video Search with CLIP and Interactive Text Query Reformulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10468887" target="_blank" >RIV/00216208:11320/23:10468887 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-27077-2_50" target="_blank" >https://doi.org/10.1007/978-3-031-27077-2_50</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-27077-2_50" target="_blank" >10.1007/978-3-031-27077-2_50</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Video Search with CLIP and Interactive Text Query Reformulation

  • Original language description

    Nowadays, deep learning based models like CLIP allow simple design of cross-modal video search systems that are able to solve many tasks considered as highly challenging several years ago. In this paper, we analyze a CLIP based search approach that focuses on situations, where users cannot find proper text queries to describe searched video segments. The approach relies on suggestions of classes for displayed intermediate result sets and thus allows users to realize missing words and ideas to describe video frames. This approach is supported with a preliminary study showing potential of the method. Based on the results, we extend a respected known-item search system for the Video Browser Showdown, where more challenging visual known-item search tasks are planned.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • 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, MMM 2023, PT I

  • ISBN

    978-3-031-27076-5

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    6

  • Pages from-to

    628-633

  • Publisher name

    SPRINGER INTERNATIONAL PUBLISHING AG

  • Place of publication

    CHAM

  • Event location

    Bergen

  • Event date

    Jan 9, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000996563000050