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Food places classification in egocentric images using Siamese neural networks

  • Datos identificativos

    Identificador: imarina:6390078
  • Autores:

    Sarker MMK
    Banu SF
    Rashwan HA
    Abdel-Nasser M
    Singh VK
    Chambon S
    Radeva P
    Puig D
  • Otros:

    Autor según el artículo: Sarker MMK; Banu SF; Rashwan HA; Abdel-Nasser M; Singh VK; Chambon S; Radeva P; Puig D
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi
    Palabras clave: Egocentric vision Food pattern classification One-shot learning Scene classification Siamese neural networks
    Resumen: © 2019 The authors and IOS Press. All rights reserved. Wearable cameras are become more popular in recent years for capturing the unscripted moments of the first-person that help to analyze the users lifestyle. In this work, we aim to recognize the places related to food in egocentric images during a day to identify the daily food patterns of the first-person. Thus, this system can assist to improve their eating behavior to protect users against food-related diseases. In this paper, we use Siamese Neural Networks to learn the similarity between images from corresponding inputs for one-shot food places classification. We tested our proposed method with'MiniEgoFoodPlaces' with 15 food related places. The proposed Siamese Neural Networks model with MobileNet achieved an overall classification accuracy of 76.74% and 77.53% on the validation and test sets of the “MiniEgoFoodPlaces” dataset, respectively outperforming with the base models, such as ResNet50, InceptionV3, and InceptionResNetV2.
    Áreas temáticas: Artificial intelligence Ciências agrárias i Comunicació i informació Engenharias iii Engenharias iv General o multidisciplinar Información y documentación Interdisciplinar Medicina ii
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: domenec.puig@urv.cat mohamed.abdelnasser@urv.cat
    Identificador del autor: 0000-0002-0562-4205 0000-0002-1074-2441
    Fecha de alta del registro: 2023-05-20
    Versión del articulo depositado: info:eu-repo/semantics/submittedVersion
    Enlace a la fuente original: https://ebooks.iospress.nl/publication/52830
    Referencia al articulo segun fuente origial: Frontiers In Artificial Intelligence And Applications. 319 145-151
    Referencia de l'ítem segons les normes APA: Sarker MMK; Banu SF; Rashwan HA; Abdel-Nasser M; Singh VK; Chambon S; Radeva P; Puig D (2019). Food places classification in egocentric images using Siamese neural networks.
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.3233/FAIA190117
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2019
    Tipo de publicación: Proceedings Paper
  • Palabras clave:

    Artificial Intelligence
    Egocentric vision
    Food pattern classification
    One-shot learning
    Scene classification
    Siamese neural networks
    Artificial intelligence
    Ciências agrárias i
    Comunicació i informació
    Engenharias iii
    Engenharias iv
    General o multidisciplinar
    Información y documentación
    Interdisciplinar
    Medicina ii
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