Content Based Image Retrieval on Hadoop Framework

Autor:	U. S. N. Raju, Shibin George, Ranjeet Deo, Priyanka Jain, V. Sairam Praneeth
Rok vydání:	2015
Předmět:	Computer science Computation Histogram Feature extraction ComputerApplications_COMPUTERSINOTHERSYSTEMS Pattern matching Data mining computer.software_genre Content-based image retrieval Grayscale computer Image retrieval Distance measures
Zdroj:	BigData Congress
DOI:	10.1109/bigdatacongress.2015.103
Popis:	This 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::64d3d2df394d9146109d01a020afc374 https://doi.org/10.1109/bigdatacongress.2015.103 Zobrazit plný text záznamu