• DocumentCode
    1667579
  • 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
  • fYear
    2015
  • Firstpage
    661
  • Lastpage
    664
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2015 IEEE International Congress on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7277-0
  • Type

    conf

  • DOI
    10.1109/BigDataCongress.2015.103
  • Filename
    7207287
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1667579