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
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;
Conference_Titel :
Big Data (BigData Congress), 2015 IEEE International Congress on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7277-0
DOI :
10.1109/BigDataCongress.2015.101
