• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2022
    • vol. 7, nº 7, december 2022
    • Ver ítem
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2022
    • vol. 7, nº 7, december 2022
    • Ver ítem

    Painting Authorship and Forgery Detection Challenges with AI Image Generation Algorithms: Rembrandt and 17th Century Dutch Painters as a Case Study

    Autor: 
    Fraile-Narvaez, Marcelo
    ;
    Sagredo-Olivenza, Ismael
    ;
    McGowan, Nadia
    Fecha: 
    12/2022
    Palabra clave: 
    artificial intelligence; authentication; image generation; machine learning; neural network; IJIMAI; JCR; Scopus
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/13936
    DOI: 
    https://doi.org/10.9781/ijimai.2022.11.005
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/3214
    Open Access
    Resumen:
    Image authorship attribution presents many challenges and difficulties which have increased with the capabilities presented by synthetic image generation through different artificial intelligence algorithms available today. The hypothesis in this research considers the possibility of using artificial intelligence as a tool to detect forgeries through the usage of a deep learning algorithm. The proposed algorithm was trained using a dataset comprised of paintings by Rembrandt and other 17th century Dutch painters. Three experiments were performed with the proposed algorithm. The first was to build a classifier able to ascertain whether a painting belongs to the Rembrandt or non-Rembrandt category, depending on whether it was painted by this author or not. The second tests included other 17th century painters in four categories. Artworks could be classified as Rembrandt, Eeckhout, Leveck or other Dutch painters. The third experiment used paintings generated by Dall-e 2 and attempted to classify them using the prior categories. Experiments confirmed the hypothesis with best executions reaching accuracy rates of more than 90%. Future research with extended datasets and improved image resolution are suggested to improve the obtained results.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: ijimai7_7_1.pdf
    Tamaño: 348.9Kb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • Artículos Científicos WOS y SCOPUS
    • vol. 7, nº 7, december 2022

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    2023
    2024
    2025
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    16
    205
    83
    52
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    8
    227
    86
    20

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • Metrics of film success: defining the 21st-century blockbuster in the USA through theatrical release and profitability 

      McGowan, Nadia; Sagredo-Olivenza, Ismael; Fraile-Narvaez, Marcelo (Creative Industries Journal, 2024)
      The term ‘blockbuster’ has evolved to signify cinematic success. This study aims to quantify blockbuster attributes by analysing the top 100 highest-grossing films in the twenty first century (2001–2022) using parameters ...
    • Instance-based defense against adversarial attacks in Deep Reinforcement Learning 

      García, Javier; Sagredo-Olivenza, Ismael (Elsevier Ltd, 2022)
      Deep Reinforcement Learning systems are now a hot topic in Machine Learning for their effectiveness in many complex tasks, but their application in safety-critical domains (e.g., robot control or self-autonomous driving) ...
    • I Congreso Español de Videojuegos 2022 

      González Calero, Pedro Antonio; Gómez Martín, Marco Antonio; Gómez Martín, Pedro Pablo; Gutiérrez Manjón, Sergio; Gutiérrez Sánchez, Pablo; Peinado, Federico; Sánchez-Ruiz Granados, Antonio; Barbancho, Isabel; Blanco Bueno, Carlos; Botella Nicolás, Ana María; Chover, Miguel; Díaz Álvarez, Josefa; Echeverría, Jorge; Fernández Leiva, Antonio J.; Fernández Ruiz, Marta; Gallego-Durán, Francisco; García Sánchez, Pablo; Gutiérrez Vela, Francisco L; Lara-Cabrera, Raúl; León, Carlos; Moreno, Jorge L.; Lozano Muñoz, Alejandro; Mayor, Jesús; Medina Medina, Nuria; Mejías-Climent, Laura; Mora, Antonio M; Munarriz, Jaime; Patow, Gustavo A.; Sagredo-Olivenza, Ismael; Salinas, María-José; Sanchez I. Peris, Francesc Josep; Sánchez-Ruiz, Antonio A; Shliakhovchuk, Elena; Tejada, Jesus (CEUR Workshop Proceedings, 2022)
      {Resumen no disponible]

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioContacto: reunir@unir.net

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja