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dc.contributor.authorRaju, U.S.N.-
dc.contributor.authorGeorge, Shibin-
dc.contributor.authorPraneeth, V. Sairam-
dc.contributor.authorDeo, Ranjeet-
dc.contributor.authorJain, Priyanka-
dc.date.accessioned2025-01-02T10:05:18Z-
dc.date.available2025-01-02T10:05:18Z-
dc.date.issued2015-
dc.identifier.citation10.1109/BigDataCongress.2015.103en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2357-
dc.descriptionNITWen_US
dc.description.abstractThis paper presents an approach for implementing Content Based Image Retrieval (CBIR) on Hadoop MapReduce framework. Although any algorithm can be used for the actual retrieval (provided it can be parallelized), in this paper, we discuss the approach of Local Tetra Patterns (LTrPs). The MapReduce implementation details presented here can be used for most CBIR techniques that involve feature-vector computations and distance measures.en_US
dc.language.isoenen_US
dc.publisherProceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015en_US
dc.subjectCBIRen_US
dc.subjectMapReduceen_US
dc.titleContent Based Image Retrieval on Hadoop Frameworken_US
dc.typeOtheren_US
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