Title :
Content Based Image Retrieval on Hadoop Framework
Author :
Raju, U.S.N. ; George, Shibin ; Praneeth, V. Sairam ; Deo, Ranjeet ; Jain, Priyanka
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Warangal, India
Abstract :
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.
Keywords :
content-based retrieval; image retrieval; parallel processing; CBIR; Hadoop MapReduce framework; LTrP; content based image retrieval; distance measures; feature-vector computations; local tetra patterns; Feature extraction; Gray-scale; Histograms; Image retrieval; Mathematical model; Pattern matching; CBIR; Hadoop; Local Tetra Patterns; MapReduce; SequenceFiles;
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.2015.103
