• DocumentCode
    704989
  • Title

    e-MinZu: A Software Service Architecture Based on Saas for Massive Data Source

  • Author

    Weng Yu

  • Author_Institution
    Minzu Univ. of China, Beijing, China
  • fYear
    2015
  • fDate
    24-27 March 2015
  • Firstpage
    246
  • Lastpage
    249
  • Abstract
    The paper takes the multi-modal data massive minority area as the research object, and uses emotion computing, voice recognition, geographic information representation, video content recognition, intelligent technology and robot, 3D display, wireless communication, the minority language and semantic information retrieval advanced information processing technology, in-depth analyzes the methods for massive multi-modal data analysis and processing of national minority area (for example: minority voice stream data, image data, EEG data, national costume of 3D data, GIS data, characteristics of ethnic minorities village minority language news data), the effective realization of multimodal data application services integrating multiple information fusion technology.
  • Keywords
    cloud computing; service-oriented architecture; storage management; Saas; e-MinZu; emotion computing; geographic information representation; intelligent technology; massive multimodal data analysis; multimodal data application services; multimodal data massive minority area; multiple information fusion technology; national minority area; robot; semantic information retrieval advanced information processing technology; software service architecture; video content recognition; voice recognition; wireless communication; Cloud computing; Computer architecture; Data processing; Distributed databases; Speech recognition; Streaming media; Three-dimensional displays; Saas; massive data; service architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
  • Conference_Location
    Gwangiu
  • Print_ISBN
    978-1-4799-1774-7
  • Type

    conf

  • DOI
    10.1109/WAINA.2015.129
  • Filename
    7096181