DocumentCode
1667522
Title
Weighted Finite Automata Based Image Compression on Hadoop MapReduce Framework
Author
Raju, U.S.N. ; Sandeep, Irlanki ; Karthik, Nattam Sai ; Praveen, Rayapudi Siva ; Sachan, Mayank Singh
Author_Institution
Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Warangal, Warangal, India
fYear
2015
Firstpage
653
Lastpage
656
Abstract
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.
Keywords
data compression; data handling; finite automata; image coding; parallel processing; Hadoop; MapReduce; WFA; image compression; weighted finite automata; Algorithm design and analysis; Automata; Image coding; Image edge detection; Inference algorithms; Partitioning algorithms; Hadoop; Weighted Finite Automata;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data (BigData Congress), 2015 IEEE International Congress on
Conference_Location
New York, NY
Print_ISBN
978-1-4673-7277-0
Type
conf
DOI
10.1109/BigDataCongress.2015.101
Filename
7207285
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