• 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
    • 2019
    • vol. 5, nº 4, march 2019
    • Ver ítem
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2019
    • vol. 5, nº 4, march 2019
    • Ver ítem

    Multimodal Generic Framework for Multimedia Documents Adaptation

    Autor: 
    Bahaj, Mohamed
    ;
    Khallouki, Hajar
    Fecha: 
    03/2019
    Palabra clave: 
    internet of things; cloud computing; sensor; heterogeneity of devices; ubiquitous computing; smart city; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12435
    DOI: 
    http://doi.org/10.9781/ijimai.2018.02.009
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2659
    Open Access
    Resumen:
    Today, people are increasingly capable of creating and sharing documents (which generally are multimedia oriented) via the internet. These multimedia documents can be accessed at anytime and anywhere (city, home, etc.) on a wide variety of devices, such as laptops, tablets and smartphones. The heterogeneity of devices and user preferences has raised a serious issue for multimedia contents adaptation. Our research focuses on multimedia documents adaptation with a strong focus on interaction with users and exploration of multimodality. We propose a multimodal framework for adapting multimedia documents based on a distributed implementation of W3C’s Multimodal Architecture and Interfaces applied to ubiquitous computing. The core of our proposed architecture is the presence of a smart interaction manager that accepts context related information from sensors in the environment as well as from other sources, including information available on the web and multimodal user inputs. The interaction manager integrates and reasons over this information to predict the user’s situation and service use. A key to realizing this framework is the use of an ontology that undergirds the communication and representation, and the use of the cloud to insure the service continuity on heterogeneous mobile devices. Smart city is assumed as the reference scenario.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: ijimai_5_4_14_pdf_17167.pdf
    Tamaño: 592.3Kb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • vol. 5, nº 4, march 2019

    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
    40
    37
    80
    253
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    35
    21
    28
    34

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • Accessibility within open educational resources and practices for disabled learners: a systematic literature review 

      Zhang, Xiangling; Tlili, Ahmed; Nascimbeni, Fabio ; Burgos, Daniel ; Huang, Ronghuai; Chang, Ting-Wen; Jemni, Mohamed; Khribi, Mohamed Koutheaïr (Smart Learning Environments, 12/2020)
      The number of disabled students is rapidly increasing worldwide, but many schools and universities have failed to keep up with their learning needs. Consequently, large numbers of disabled students are dropping out of ...
    • Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task 

      Settouti, Nesma; El Amine Bechar, Mohammed; Amine Chikh, Mohammed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      This work is builds on the study of the 10 top data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) community in December 2006. We address the same study, but with the application ...
    • Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations 

      Hameed Abdulkareem, Karrar; Arbaiy, Nureize; Hussein Arif, Zainab; Nasser Al-Mhiqani, Mohammed; Abed Mohammed, Mazin; Kadry, Seifedine; Alkareem Alyasseri, Zaid Abdi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying ...

    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