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Audio-Visual Broadcast Transcription System in the Era of Covid-19

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F23%3A00011748" target="_blank" >RIV/46747885:24220/23:00011748 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10197747" target="_blank" >https://ieeexplore.ieee.org/document/10197747</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP59544.2023.10197747" target="_blank" >10.1109/TSP59544.2023.10197747</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Audio-Visual Broadcast Transcription System in the Era of Covid-19

  • Original language description

    This paper deals with the methods and algorithms for face (mask) detection and recognition in the system for automatic audio-visual TV broadcast transcription. In the era of Covid-19, traditional methods for face detection and recognition were failing as large numbers of people wearing face masks began to appear in television video recordings. Therefore, we focused our work on finding a sufficiently robust detector and classifier for face (masked/unmasked) detection and recognition. As part of this work, a face mask detector and a face recognizer were trained.

  • 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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    46th International Conference on Telecommunications and Signal Processing, TSP 2023

  • ISBN

    979-835030396-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    276-279

  • Publisher name

    IEEE

  • Place of publication

  • Event location

    Virtual, Online

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article