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A Systematic Analysis of Big Image Data Methodologies in Various Applications
Author(s) -
Madhu M Nayak,
Sumithra Devi K A
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2307.039520
Subject(s) - big data , computer science , deep learning , image (mathematics) , process (computing) , artificial intelligence , data science , data mining , wavelet , machine learning , operating system
Big data is large-scale data collected for knowledge discovery, it has been widely used in various applications. Big data often has image data from the various applications and requires effective technique to process data. In this paper, survey has been done in the big image data researches to analysis the effective performance of the methods. Deep learning techniques provides the effective performance compared to other methods included wavelet based methods. The deep learning techniques has the problem of requiring more computational time, and this can be overcome by lightweight methods.

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