Weighted Finite Automata based Image Compression on Hadoop MapReduce Framework

被引：0
|
作者：
Raju, U. S. N. [1 ]
Sandeep, Irlanki [1 ]
Karthik, Nattam Sai [1 ]
Praveen, Rayapudi Siva [1 ]
Sachan, Mayank Singh [1 ]
机构：
[1] Natl Inst Technol, Dept Comp Sci & Engn, Warangal, Andhra Pradesh, India
来源：
2015 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2015 | 2015年
关键词：
Weighted Finite Automata; Hadoop;
D O I：
10.1109/BigDataCongress.2015.101
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we explore the algorithm for WFA inference from images, and its possibilities. We also provide a brief introduction into Hadoop and its application in image processing. Hadoop MapReduce framework can be extended to work with WFA based compression of images, as the data set of images is very huge.
引用
收藏
页码：653 / 656
页数：4
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