Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/1864
Title: Study of Different Information Extraction Methods Used for Analysis of Unstructured Image Data: A Literature Survey
Authors: Atkotiya, Kishor H.
Faldu, Ankit J.
Patel, Amit
Gujarati, Prakash
Keywords: Unstructured data
Image, data analysis
Data analytics
Information extraction,
Image Processing
Issue Date: 2020
Publisher: The Maharaja Sayajirao University of Baroda
Series/Report no.: 54;2(V)
Abstract: The evolution and easy availability of internet services to the people has commanded to generated large volume of data. When more data is generated and more resource are required for analysis of those data. There is no value of data unless it's analyzed and organization should get useful information to drive organization and decision making from those gather data. Current data has been divided into three type, namely structured, semi-structured, and unstructured. Accurate retrieval Information or extraction from structured and semi-structured is easy as compare to unstructured data. Currently 80% data are unstructured. images, audio, video are some of example of unstructured data. There is need to understand the unstructured data and extraction useful information from those data. In this paper is focus on study of different information extraction methods used to analysis of images data.
URI: http://10.9.150.37:8080/dspace//handle/atmiyauni/1864
ISSN: 0025-0422
Appears in Collections:01. Journal Articles

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