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  Published Paper Details:

  Paper Title

A BIG IMAGE DATA DISTRIBUTED PROCESSING FRAME WORK IN STATIC AND DYNAMIC IMAGE CLOUD PROCESSING

  Authors

  Shaik Asha,  Shaik Shakeera

  Keywords

Big data, Image processing, MapReduce, Distributed system, Cloud computing

  Abstract


In this paper suggesting a functional processing frame work nominated Image Cloud processing (ICP) to powerfully subsist with the data in Image processing field. The image processing algorithms to increase greater proficiency, it focuses on giving a general structure to the algorithms that can be executed in parallel to achieve the goal The ICP framework consist of two processing systems i.e.; Static ICP (SICP) and Dynamic ICP (DICP). SICP is handling the image information pre-stored in the distributed system; DICP is initiate for dynamic information. To Manage SICP, two new data representations named as P-Image and Big-Image are implemented to coordinate with Map Reduce to attain more optimized marshalling and higher coherence. DICP is enact into a parallel processing schedule working with the standard technique of the proper framework. Image Net dataset are used to authorize the capacity of ICP framework over the traditional state-of-the-art methods, both in time efficiency and quality of results.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTNCES066

  Paper ID - 180567

  Page Number(s) - 402-407

  Pubished in - Volume 6 | Issue 1 | December - 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shaik Asha,  Shaik Shakeera,   "A BIG IMAGE DATA DISTRIBUTED PROCESSING FRAME WORK IN STATIC AND DYNAMIC IMAGE CLOUD PROCESSING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.402-407, December - 2017, Available at :http://www.ijcrt.org/papers/IJCRTNCES066.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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