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
Link To Document :
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