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  • 标题:Large Scale Image Processing Using Distributed and Parallel Architecture
  • 本地全文:下载
  • 作者:Helly M. Patel ; Krunal Panchal ; Prashant Chauhan
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:6
  • 页码:5531-5535
  • 出版社:TechScience Publications
  • 摘要:Enormous amount of images are uploaded and usedvia internet and this ratio is still drastically increasing .So thereis instant need to handle this data and customize and filter it asper user and application requirement. This paper describe someparallel and distributed processing techniques like Hadoop,HIPI, Map reduce, CUDA, MPI to process massive database.Mapreduce based large-scale images processing, which exhibithigh reliability and scalability in distributed and parallelenvironment. As highly efficient parallel data processing allthese methods are used to analyze and process massive imagedatabase. In today’s highly digitalized world large volume ofmultimedia data need to efficiently store, process and analyzeThis paper shows usefulness of parallel and distributedtechniques.
  • 关键词:Image Processing; Parallel and distributed;processing; Mapreduce; Hadoop; HIPI; CUDA; MPI
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