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dc.contributor.authorRaju, U. S. N-
dc.contributor.authorSandeep, Irlanki-
dc.contributor.authorSai Karthik, Nattam-
dc.contributor.authorPraveen, Rayapudi Siva-
dc.contributor.authorSachan, Mayank Singh-
dc.date.accessioned2025-01-06T10:07:18Z-
dc.date.available2025-01-06T10:07:18Z-
dc.date.issued2015-
dc.identifier.citation10.1109/BigDataCongress.2015.101en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2469-
dc.descriptionNITWen_US
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.publisherProceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015en_US
dc.subjectWeighted Finite Automataen_US
dc.subjectHadoopen_US
dc.titleWeighted Finite Automata based Image Compression on Hadoop MapReduce Frameworken_US
dc.typeOtheren_US
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